This report describes the Survey of COVID-19 Responses to Understand Behaviour (SCRUB) project. It is focused on Wave 3 results, but include key findings from previous waves.A total of 1474 respondents completed Wave 3 of the survey.
This sample includes Australian participants from a panel company (ORU) only.
| gender | 1 | 2 | 3 |
|---|---|---|---|
| Male | 46% (501) | 48% (516) | 47% (700) |
| Female | 52% (573) | 51% (557) | 52% (770) |
| Other (specify) | 0% (1) | 0% (0) | 0% (4) |
| NA | 2% (17) | 1% (11) | 0% (0) |
| country | 1 | 2 | 3 |
|---|---|---|---|
| Australia | 100% (1092) | 100% (1084) | 100% (1474) |
| Angola | 0% (0) | 0% (0) | 0% (0) |
| Germany | 0% (0) | 0% (0) | 0% (0) |
| Austria | 0% (0) | 0% (0) | 0% (0) |
| Nepal | 0% (0) | 0% (0) | 0% (0) |
| United States of America | 0% (0) | 0% (0) | 0% (0) |
| Singapore | 0% (0) | 0% (0) | 0% (0) |
| India | 0% (0) | 0% (0) | 0% (0) |
| Netherlands | 0% (0) | 0% (0) | 0% (0) |
| United Kingdom of Great Britain and Northern Ireland | 0% (0) | 0% (0) | 0% (0) |
| Romania | 0% (0) | 0% (0) | 0% (0) |
| Portugal | 0% (0) | 0% (0) | 0% (0) |
| Saudi Arabia | 0% (0) | 0% (0) | 0% (0) |
| Ireland | 0% (0) | 0% (0) | 0% (0) |
| Serbia | 0% (0) | 0% (0) | 0% (0) |
| Croatia | 0% (0) | 0% (0) | 0% (0) |
| Viet Nam | 0% (0) | 0% (0) | 0% (0) |
| Albania | 0% (0) | 0% (0) | 0% (0) |
| Canada | 0% (0) | 0% (0) | 0% (0) |
| France | 0% (0) | 0% (0) | 0% (0) |
| Sweden | 0% (0) | 0% (0) | 0% (0) |
| New Zealand | 0% (0) | 0% (0) | 0% (0) |
| South Africa | 0% (0) | 0% (0) | 0% (0) |
| Philippines | 0% (0) | 0% (0) | 0% (0) |
| Pakistan | 0% (0) | 0% (0) | 0% (0) |
| Uganda | 0% (0) | 0% (0) | 0% (0) |
| Mexico | 0% (0) | 0% (0) | 0% (0) |
| Hungary | 0% (0) | 0% (0) | 0% (0) |
| Colombia | 0% (0) | 0% (0) | 0% (0) |
| Malaysia | 0% (0) | 0% (0) | 0% (0) |
| Norway | 0% (0) | 0% (0) | 0% (0) |
| Ukraine | 0% (0) | 0% (0) | 0% (0) |
| Afghanistan | 0% (0) | 0% (0) | 0% (0) |
| Qatar | 0% (0) | 0% (0) | 0% (0) |
| Cuba | 0% (0) | 0% (0) | 0% (0) |
| United Arab Emirates | 0% (0) | 0% (0) | 0% (0) |
| Israel | 0% (0) | 0% (0) | 0% (0) |
| Tunisia | 0% (0) | 0% (0) | 0% (0) |
| Iceland | 0% (0) | 0% (0) | 0% (0) |
| Belgium | 0% (0) | 0% (0) | 0% (0) |
| Denmark | 0% (0) | 0% (0) | 0% (0) |
| Italy | 0% (0) | 0% (0) | 0% (0) |
| Turkey | 0% (0) | 0% (0) | 0% (0) |
| Brazil | 0% (0) | 0% (0) | 0% (0) |
| Hong Kong (S.A.R.) | 0% (0) | 0% (0) | 0% (0) |
| Slovakia | 0% (0) | 0% (0) | 0% (0) |
| Chile | 0% (0) | 0% (0) | 0% (0) |
| Nigeria | 0% (0) | 0% (0) | 0% (0) |
| Algeria | 0% (0) | 0% (0) | 0% (0) |
| Bahrain | 0% (0) | 0% (0) | 0% (0) |
| agegroup | 1 | 2 | 3 |
|---|---|---|---|
| 18-29 | 9% (102) | 13% (138) | 20% (292) |
| 30-39 | 22% (240) | 19% (205) | 19% (285) |
| 40-49 | 14% (158) | 17% (187) | 15% (226) |
| 50-59 | 18% (194) | 18% (191) | 16% (230) |
| 60-69 | 21% (229) | 16% (176) | 15% (215) |
| 70-79 | 13% (146) | 12% (134) | 12% (177) |
| 80 and over | 2% (23) | 5% (53) | 3% (49) |
| state_aus | 1 | 2 | 3 |
|---|---|---|---|
| Australian Capital Territory | 1% (16) | 2% (20) | 1% (12) |
| New South Wales | 27% (292) | 26% (285) | 15% (220) |
| Northern Territory | 0% (3) | 0% (2) | 0% (3) |
| Queensland | 20% (213) | 19% (210) | 10% (148) |
| South Australia | 8% (83) | 8% (88) | 4% (66) |
| Tasmania | 3% (28) | 2% (26) | 1% (17) |
| Victoria | 29% (315) | 29% (313) | 63% (924) |
| Western Australia | 12% (128) | 12% (130) | 6% (84) |
| NA | 1% (14) | 1% (10) | 0% (0) |
We asked respondents their country of birth, whether they spoke a language other than English at home, and whether they were of Aboriginal or Torres Strait Islander origin.
| cald_cob | 1 | 2 | 3 |
|---|---|---|---|
| Australia | 0% (0) | 70% (758) | 73% (1074) |
| Other (please specify) | 0% (0) | 29% (318) | 25% (375) |
| NA | 100% (1092) | 1% (8) | 2% (25) |
| cald_lote | 1 | 2 | 3 |
|---|---|---|---|
| No, English only | 0% (0) | 83% (901) | 83% (1223) |
| Yes, other language (please specify) | 0% (0) | 16% (176) | 16% (230) |
| NA | 100% (1092) | 1% (7) | 1% (21) |
| Language | n | % total | % LOTE |
|---|---|---|---|
| Arabic | 3 | 0.2% | 1.3% |
| Bengali | 5 | 0.3% | 2.2% |
| Cantonese | 16 | 1.1% | 7.1% |
| Chinese | 4 | 0.3% | 1.8% |
| French | 7 | 0.5% | 3.1% |
| German | 3 | 0.2% | 1.3% |
| Greek | 4 | 0.3% | 1.8% |
| Gujarati | 7 | 0.5% | 3.1% |
| Hindi | 18 | 1.2% | 8.0% |
| Indonesian | 3 | 0.2% | 1.3% |
| Italian | 14 | 0.9% | 6.2% |
| Japanese | 4 | 0.3% | 1.8% |
| Kannada | 4 | 0.3% | 1.8% |
| Korean | 2 | 0.1% | 0.9% |
| Macedonian | 3 | 0.2% | 1.3% |
| Malayalam | 3 | 0.2% | 1.3% |
| Maltese | 3 | 0.2% | 1.3% |
| Mandarin | 25 | 1.7% | 11.1% |
| Nepali | 2 | 0.1% | 0.9% |
| Polish | 6 | 0.4% | 2.7% |
| Punjabi | 2 | 0.1% | 0.9% |
| Serbian | 2 | 0.1% | 0.9% |
| Sinhala | 4 | 0.3% | 1.8% |
| Sinhalese | 6 | 0.4% | 2.7% |
| Spanish | 3 | 0.2% | 1.3% |
| Tagalog | 10 | 0.7% | 4.4% |
| Tamil | 6 | 0.4% | 2.7% |
| Telugu | 3 | 0.2% | 1.3% |
| Turkish | 2 | 0.1% | 0.9% |
| Urdu | 6 | 0.4% | 2.7% |
| Vietnamese | 5 | 0.3% | 2.2% |
| NA | 1249 | 84.7% | - |
More information about the Australian Bureau of Statistics Remoteness index is available on the ABS website.
| region_aus_type | 1 | 2 | 3 |
|---|---|---|---|
| Major city | 76% (832) | 77% (839) | 84% (1237) |
| Inner regional | 13% (140) | 13% (139) | 12% (182) |
| Outer regional | 3% (31) | 3% (30) | 3% (45) |
| Remote | 0% (4) | 0% (2) | 0% (3) |
| Very remote | 0% (0) | 0% (0) | 0% (0) |
| NA | 8% (85) | 7% (74) | 0% (7) |
We asked the following questions about employment at Wave 2 and 3, based on the ABS questions asked about employment.
| employ | 1 | 2 | 3 |
|---|---|---|---|
| No, did not have a job | 0% (0) | 47% (511) | 41% (611) |
| Yes, but absent on holidays, on paid leave, on strike, or temporarily stood down | 0% (0) | 6% (63) | 4% (62) |
| Yes, unpaid work | 0% (0) | 3% (37) | 3% (37) |
| Yes, worked for payment or profit | 0% (0) | 43% (470) | 52% (761) |
| NA | 100% (1092) | 0% (3) | 0% (3) |
| employ_hours | 1 | 2 | 3 |
|---|---|---|---|
| Less hours | 0% (0) | 19% (208) | 19% (284) |
| More hours | 0% (0) | 7% (76) | 8% (115) |
| Same hours | 0% (0) | 27% (289) | 31% (461) |
| NA | 100% (1092) | 47% (511) | 42% (614) |
| employ_reason | 1 | 2 | 3 |
|---|---|---|---|
| No | 0% (0) | 5% (50) | 5% (72) |
| Yes | 0% (0) | 21% (231) | 22% (320) |
| NA | 100% (1092) | 74% (803) | 73% (1082) |
| employ_reason | employ_hours | Total | ||
|---|---|---|---|---|
| Less hours | More hours | Same hours | ||
| No | 30 | 42 | 0 | 72 |
| Yes | 248 | 72 | 0 | 320 |
| Total | 278 | 114 | 0 | 392 | χ2=NaN · df=2 · Cramer’s V=NaN · Fisher’s p=0.000 |
| employ_carer | 1 | 2 | 3 |
|---|---|---|---|
| No | 0% (0) | 86% (928) | 85% (1250) |
| Yes | 0% (0) | 14% (154) | 14% (208) |
| NA | 100% (1092) | 0% (2) | 1% (16) |
| employ_child | 1 | 2 | 3 |
|---|---|---|---|
| No | 0% (0) | 73% (790) | 74% (1095) |
| Yes, looked after a child other than my own child | 0% (0) | 3% (37) | 4% (59) |
| Yes, looked after my own child | 0% (0) | 24% (255) | 21% (310) |
| NA | 100% (1092) | 0% (2) | 1% (10) |
| employ_change | 1 | 2 | 3 |
|---|---|---|---|
| No | 0% (0) | 61% (663) | 59% (864) |
| Yes | 0% (0) | 38% (412) | 41% (609) |
| NA | 100% (1092) | 1% (9) | 0% (1) |
The scale of responses was Never, Rarely, Sometimes, Often, and Always.
The following behaviours were measured at Wave 1 and 2 only:
The following behaviour was measured starting at Wave 3:
## beh_app [6]
| Never | Rarely | Sometimes | Often | Always | |
|---|---|---|---|---|---|
|
Wash hands for 20 seconds with soap and water OR alcohol-based hand sanitiser |
9 (1 %) |
25 (2 %) |
94 (9 %) |
331 (30 %) |
631 (58 %) |
|
Cover coughs and sneezes with elbow or a tissue |
27 (2 %) |
30 (3 %) |
84 (8 %) |
212 (20 %) |
731 (67 %) |
| NOT touch face with unwashed hands |
33 (3 %) |
113 (10 %) |
326 (30 %) |
359 (33 %) |
257 (24 %) |
|
Keep physical distance from people in public, school, or workplace |
10 (1 %) |
15 (1 %) |
119 (11 %) |
393 (36 %) |
551 (51 %) |
| Stay at home |
12 (1 %) |
27 (2 %) |
110 (10 %) |
605 (56 %) |
333 (31 %) |
## beh_app [6]
| Never | Rarely | Sometimes | Often | Always | |
|---|---|---|---|---|---|
|
Wash hands for 20 seconds with soap and water OR alcohol-based hand sanitiser |
6 (1 %) |
31 (3 %) |
116 (11 %) |
353 (33 %) |
573 (53 %) |
|
Cover coughs and sneezes with elbow or a tissue |
14 (1 %) |
30 (3 %) |
82 (8 %) |
209 (21 %) |
653 (66 %) |
| NOT touch face with unwashed hands |
24 (2 %) |
106 (10 %) |
291 (27 %) |
380 (35 %) |
274 (25 %) |
|
Keep physical distance from people in public, school, or workplace |
2 (0 %) |
10 (1 %) |
41 (4 %) |
246 (23 %) |
751 (72 %) |
| Stay at home |
2 (0 %) |
19 (2 %) |
79 (7 %) |
534 (50 %) |
433 (41 %) |
## beh_cover [2], beh_touch [3]
| Never | Rarely | Sometimes | Often | Always | |
|---|---|---|---|---|---|
|
Wash hands for 20 seconds with soap and water OR alcohol-based hand sanitiser |
12 (1 %) |
46 (3 %) |
164 (11 %) |
520 (35 %) |
723 (49 %) |
|
Cover coughs and sneezes with elbow or a tissue |
4 (0 %) |
15 (1 %) |
73 (5 %) |
408 (29 %) |
928 (65 %) |
| NOT touch face with unwashed hands |
13 (1 %) |
26 (2 %) |
158 (11 %) |
814 (56 %) |
447 (31 %) |
|
Keep physical distance from people in public, school, or workplace |
589 (48 %) |
30 (2 %) |
74 (6 %) |
106 (9 %) |
429 (35 %) |
In Wave 1, we asked respondents “How often do you take actions recommended by the following groups regarding COVID-19?”
In Wave 2 and onwards, we asked “Think back over the past 7 days. What are the sources of information that have most influenced your actions regarding COVID-19?”
Instead of asking respondents to rate every category, we asked them to select up to three.
In Wave 3 we asked “Think back over the past 7 days. What are the sources of information that have most influenced your actions regarding COVID-19?”
## info_need_w2_authority_websites [10]
| Not selected | Selected | |
|---|---|---|
| Commercial television stations | 56 % | 44 % |
| Government-funded television channels | 61 % | 39 % |
| Family and friends | 70 % | 30 % |
| Daily or weekly newspapers | 81 % | 19 % |
| Commercial online news | 82 % | 18 % |
| Sebackground-color:#eaeaea;h engines | 83 % | 17 % |
| Government-funded radio channels | 88 % | 12 % |
| Commercial radio stations | 90 % | 10 % |
| Government or health authority websites | 92 % | 8 % |
| Consultation with health care workers | 92 % | 8 % |
| Co-workers | 93 % | 7 % |
Here we plot activities that respondents have done over the past week.
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Worked (past week) |
88 (10 %) |
43 (5 %) |
69 (8 %) |
98 (12 %) |
96 (11 %) |
385 (46 %) |
33 (4 %) |
30 (4 %) |
| Restaurant/cafe (past week) |
662 (45 %) |
395 (27 %) |
225 (15 %) |
67 (5 %) |
62 (4 %) |
38 (3 %) |
6 (0 %) |
18 (1 %) |
| Medical care (past week) |
1092 (74 %) |
235 (16 %) |
66 (4 %) |
42 (3 %) |
15 (1 %) |
15 (1 %) |
4 (0 %) |
5 (0 %) |
|
Social contact with friends/family (past week) |
482 (33 %) |
224 (15 %) |
183 (12 %) |
142 (10 %) |
110 (7 %) |
95 (6 %) |
31 (2 %) |
207 (14 %) |
| Bought goods/services (past week) |
176 (12 %) |
410 (28 %) |
411 (28 %) |
246 (17 %) |
113 (8 %) |
68 (5 %) |
15 (1 %) |
34 (2 %) |
| Public activities (past week) |
1090 (74 %) |
112 (8 %) |
91 (6 %) |
57 (4 %) |
42 (3 %) |
37 (3 %) |
12 (1 %) |
32 (2 %) |
| Public transport (past week) |
1274 (88 %) |
63 (4 %) |
47 (3 %) |
24 (2 %) |
19 (1 %) |
15 (1 %) |
7 (0 %) |
1 (0 %) |
| Active transport (past week) |
1053 (73 %) |
110 (8 %) |
96 (7 %) |
53 (4 %) |
34 (2 %) |
38 (3 %) |
10 (1 %) |
41 (3 %) |
| Private transport (past week) |
317 (22 %) |
289 (20 %) |
294 (20 %) |
168 (12 %) |
124 (8 %) |
127 (9 %) |
51 (4 %) |
89 (6 %) |
| No | Yes | |
|---|---|---|
| Public transport (past week) |
1274 (88 %) |
176 (12 %) |
| Private transport (past week) |
317 (22 %) |
1142 (78 %) |
| Active transport (past week) |
1053 (73 %) |
382 (27 %) |
| Worked (past week) |
88 (10 %) |
754 (90 %) |
| Restaurant/cafe (past week) |
662 (45 %) |
811 (55 %) |
| Medical care (past week) |
1092 (74 %) |
382 (26 %) |
|
Social contact with friends/family (past week) |
482 (33 %) |
992 (67 %) |
| Bought goods/services (past week) |
176 (12 %) |
1297 (88 %) |
| Public activities (past week) |
1090 (74 %) |
383 (26 %) |
Analysis note: respondents who answered Gender with “other” (n = 5), chronic condition with “don’t know” (n = 40)or lived in remote Australia (n = 9)were not included in this analysis due to insufficient number of responses.
The first three predictors in each model are confidence in authorities to minimise harm from COVID-19 (local health authority, state political leaders, and state health authority)
|
Wash hands for 20 seconds with soap and water OR alcohol-based hand sanitiser |
Stay at home |
Keep physical distance from people in public, school, or workplace |
Use the COVIDsafe mobile phone app when in public | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictors | std. Beta | standardized CI | p | std. Beta | standardized CI | p | std. Beta | standardized CI | p | std. Beta | standardized CI | p |
| Local or city health authority | 0.12 | 0.05 – 0.19 | 0.001 | 0.08 | 0.01 – 0.15 | 0.026 | 0.04 | -0.03 – 0.11 | 0.310 | 0.07 | -0.01 – 0.15 | 0.085 |
| State political leaders | 0.02 | -0.06 – 0.09 | 0.618 | 0.07 | -0.01 – 0.14 | 0.084 | 0.01 | -0.06 – 0.08 | 0.790 | 0.15 | 0.07 – 0.23 | <0.001 |
| State, province, or regional health authority | -0.02 | -0.11 – 0.06 | 0.601 | -0.05 | -0.14 – 0.04 | 0.284 | 0.09 | 0.00 – 0.18 | 0.042 | -0.01 | -0.11 – 0.08 | 0.821 |
| gender: Male | Reference | Reference | Reference | Reference | ||||||||
| gender: Female | 0.17 | 0.06 – 0.27 | 0.003 | 0.10 | -0.01 – 0.21 | 0.070 | 0.12 | 0.01 – 0.22 | 0.033 | -0.01 | -0.13 – 0.11 | 0.881 |
| agegroup: 18-29 | Reference | Reference | Reference | Reference | ||||||||
| agegroup: 30-39 | 0.08 | -0.10 – 0.26 | 0.386 | 0.02 | -0.16 – 0.20 | 0.805 | 0.14 | -0.03 – 0.32 | 0.113 | 0.03 | -0.16 – 0.22 | 0.761 |
| agegroup: 40-49 | 0.10 | -0.10 – 0.30 | 0.309 | 0.02 | -0.18 – 0.23 | 0.814 | 0.25 | 0.05 – 0.44 | 0.015 | 0.00 | -0.21 – 0.21 | 0.987 |
| agegroup: 50-59 | 0.37 | 0.19 – 0.55 | <0.001 | -0.01 | -0.20 – 0.17 | 0.906 | 0.57 | 0.39 – 0.75 | <0.001 | 0.02 | -0.18 – 0.22 | 0.862 |
| agegroup: 60-69 | 0.44 | 0.25 – 0.63 | <0.001 | 0.04 | -0.15 – 0.23 | 0.696 | 0.59 | 0.40 – 0.79 | <0.001 | -0.02 | -0.23 – 0.19 | 0.835 |
| agegroup: 70-79 | 0.32 | 0.12 – 0.53 | 0.002 | 0.24 | 0.04 – 0.44 | 0.021 | 0.68 | 0.48 – 0.88 | <0.001 | 0.23 | 0.00 – 0.45 | 0.047 |
| agegroup: 80 and over | 0.40 | 0.08 – 0.72 | 0.013 | 0.19 | -0.13 – 0.51 | 0.235 | 0.80 | 0.48 – 1.11 | <0.001 | 0.24 | -0.13 – 0.62 | 0.209 |
| education: Some high school | Reference | Reference | Reference | Reference | ||||||||
| education: Completed high school | -0.10 | -0.32 – 0.12 | 0.356 | 0.07 | -0.15 – 0.29 | 0.554 | 0.02 | -0.20 – 0.24 | 0.855 | -0.05 | -0.29 – 0.20 | 0.715 |
|
education: Associate’s degree or technical education |
-0.01 | -0.22 – 0.21 | 0.952 | 0.09 | -0.13 – 0.30 | 0.427 | -0.02 | -0.23 – 0.20 | 0.890 | -0.02 | -0.26 – 0.22 | 0.884 |
| education: Undergraduate degree | -0.11 | -0.33 – 0.10 | 0.294 | 0.06 | -0.16 – 0.28 | 0.588 | -0.02 | -0.24 – 0.19 | 0.840 | 0.04 | -0.19 – 0.28 | 0.715 |
| education: Master’s degree | -0.05 | -0.30 – 0.20 | 0.681 | 0.14 | -0.11 – 0.38 | 0.287 | 0.07 | -0.17 – 0.32 | 0.552 | 0.15 | -0.12 – 0.42 | 0.279 |
| education: Doctorate | 0.28 | -0.19 – 0.74 | 0.248 | -0.01 | -0.48 – 0.47 | 0.979 | 0.23 | -0.24 – 0.70 | 0.334 | 0.12 | -0.40 – 0.64 | 0.642 |
| chronic: Yes | Reference | Reference | Reference | Reference | ||||||||
| chronic: No | 0.04 | -0.10 – 0.17 | 0.582 | -0.14 | -0.28 – -0.00 | 0.045 | -0.04 | -0.17 – 0.10 | 0.606 | -0.06 | -0.21 – 0.09 | 0.448 |
| cald_lote: No, English only | Reference | Reference | Reference | Reference | ||||||||
| cald_lote: Yes, other language (please specify) | 0.02 | -0.13 – 0.17 | 0.782 | 0.28 | 0.13 – 0.43 | <0.001 | 0.16 | 0.01 – 0.31 | 0.038 | -0.12 | -0.28 – 0.05 | 0.158 |
| children: Yes | Reference | Reference | Reference | Reference | ||||||||
| children: No | -0.07 | -0.22 – 0.07 | 0.330 | -0.00 | -0.15 – 0.15 | 0.961 | -0.09 | -0.24 – 0.06 | 0.228 | -0.22 | -0.38 – -0.06 | 0.007 |
| region_aus_type: Major city | Reference | Reference | Reference | Reference | ||||||||
| region_aus_type: Inner regional | 0.02 | -0.14 – 0.18 | 0.848 | -0.02 | -0.18 – 0.14 | 0.782 | -0.04 | -0.19 – 0.12 | 0.650 | -0.10 | -0.28 – 0.08 | 0.283 |
| region_aus_type: Outer regional | -0.12 | -0.43 – 0.19 | 0.441 | -0.02 | -0.34 – 0.29 | 0.878 | 0.21 | -0.10 – 0.52 | 0.185 | -0.10 | -0.44 – 0.24 | 0.566 |
| Observations | 1391 | 1385 | 1356 | 1170 | ||||||||
| R2 / R2 adjusted | 0.047 / 0.033 | 0.031 / 0.016 | 0.086 / 0.072 | 0.054 / 0.038 | ||||||||
| Worked in person (past week) | Restaurant/cafe in person (past week) | Medical care in person (past week) |
Social contact with friends/family in person (past week) |
Bought goods/services in person (past week) | Public activities in person (past week) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictors | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p |
| Local or city health authority | 0.01 | -0.16 – 0.17 | 0.922 | -0.06 | -0.16 – 0.05 | 0.275 | 0.14 | 0.02 – 0.25 | 0.021 | 0.08 | -0.02 – 0.18 | 0.126 | 0.00 | -0.07 – 0.08 | 0.974 | 0.07 | -0.15 – 0.29 | 0.547 |
| State political leaders | -0.10 | -0.25 – 0.04 | 0.175 | -0.01 | -0.11 – 0.09 | 0.879 | 0.03 | -0.07 – 0.14 | 0.548 | -0.08 | -0.18 – 0.02 | 0.118 | -0.03 | -0.10 – 0.04 | 0.416 | 0.02 | -0.16 – 0.21 | 0.799 |
| State, province, or regional health authority | 0.02 | -0.18 – 0.21 | 0.878 | 0.07 | -0.06 – 0.19 | 0.312 | -0.11 | -0.25 – 0.03 | 0.109 | -0.04 | -0.17 – 0.10 | 0.589 | 0.02 | -0.08 – 0.11 | 0.753 | -0.13 | -0.39 – 0.13 | 0.313 |
| gender: Male | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| gender: Female | -0.46 | -0.79 – -0.13 | 0.007 | -0.32 | -0.54 – -0.11 | 0.003 | -0.16 | -0.41 – 0.09 | 0.213 | -0.06 | -0.28 – 0.17 | 0.615 | -0.30 | -0.47 – -0.14 | <0.001 | -0.26 | -0.69 – 0.18 | 0.241 |
| agegroup: 18-29 | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| agegroup: 30-39 | -0.06 | -0.56 – 0.44 | 0.807 | 0.17 | -0.16 – 0.50 | 0.311 | -0.13 | -0.57 – 0.32 | 0.573 | -0.12 | -0.50 – 0.25 | 0.524 | 0.01 | -0.26 – 0.28 | 0.937 | 0.34 | -0.34 – 1.02 | 0.325 |
| agegroup: 40-49 | -0.51 | -1.06 – 0.05 | 0.075 | -0.07 | -0.45 – 0.32 | 0.736 | -0.39 | -0.87 – 0.08 | 0.106 | -0.56 | -0.99 – -0.13 | 0.010 | -0.17 | -0.47 – 0.13 | 0.272 | 0.28 | -0.49 – 1.06 | 0.473 |
| agegroup: 50-59 | -0.11 | -0.64 – 0.43 | 0.695 | -0.14 | -0.51 – 0.23 | 0.460 | -0.46 | -0.94 – 0.02 | 0.060 | -0.50 | -0.87 – -0.12 | 0.010 | 0.10 | -0.17 – 0.38 | 0.464 | 0.45 | -0.33 – 1.24 | 0.258 |
| agegroup: 60-69 | 0.10 | -0.61 – 0.80 | 0.785 | -0.43 | -0.81 – -0.04 | 0.030 | -0.68 | -1.15 – -0.22 | 0.004 | -0.33 | -0.73 – 0.06 | 0.097 | 0.14 | -0.15 – 0.43 | 0.339 | 0.29 | -0.51 – 1.08 | 0.477 |
| agegroup: 70-79 | -0.56 | -1.59 – 0.48 | 0.291 | -0.30 | -0.75 – 0.15 | 0.193 | -0.49 | -0.97 – -0.00 | 0.049 | -0.39 | -0.80 – 0.01 | 0.058 | -0.06 | -0.36 – 0.25 | 0.713 | 0.20 | -0.57 – 0.98 | 0.605 |
| agegroup: 80 and over | -2.14 | -6.40 – 2.11 | 0.323 | -0.89 | -1.67 – -0.12 | 0.024 | -0.20 | -0.82 – 0.43 | 0.534 | -0.16 | -0.78 – 0.47 | 0.623 | -0.24 | -0.74 – 0.26 | 0.348 | -0.89 | -2.47 – 0.69 | 0.267 |
| education: Some high school | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| education: Completed high school | -0.30 | -1.27 – 0.67 | 0.542 | 0.04 | -0.44 – 0.53 | 0.858 | -0.31 | -0.88 – 0.25 | 0.278 | -0.29 | -0.76 – 0.17 | 0.217 | 0.01 | -0.32 – 0.34 | 0.960 | -0.19 | -1.20 – 0.81 | 0.708 |
|
education: Associate’s degree or technical education |
-0.96 | -1.91 – -0.01 | 0.048 | -0.06 | -0.54 – 0.41 | 0.793 | 0.08 | -0.48 – 0.65 | 0.779 | -0.06 | -0.52 – 0.40 | 0.797 | 0.08 | -0.24 – 0.40 | 0.630 | -0.42 | -1.38 – 0.54 | 0.388 |
| education: Undergraduate degree | -1.29 | -2.23 – -0.36 | 0.007 | -0.02 | -0.49 – 0.45 | 0.930 | -0.03 | -0.61 – 0.54 | 0.909 | -0.09 | -0.55 – 0.36 | 0.682 | 0.04 | -0.28 – 0.37 | 0.787 | -0.02 | -0.97 – 0.93 | 0.973 |
| education: Master’s degree | -1.54 | -2.53 – -0.56 | 0.002 | 0.24 | -0.30 – 0.78 | 0.387 | 0.28 | -0.38 – 0.94 | 0.408 | -0.09 | -0.64 – 0.45 | 0.732 | -0.07 | -0.44 – 0.31 | 0.726 | 0.48 | -0.57 – 1.53 | 0.371 |
| education: Doctorate | -1.63 | -3.08 – -0.18 | 0.028 | -0.26 | -1.31 – 0.79 | 0.629 | -0.75 | -1.90 – 0.41 | 0.203 | 0.37 | -0.68 – 1.41 | 0.488 | 0.38 | -0.33 – 1.10 | 0.289 | 3.31 | 0.74 – 5.89 | 0.012 |
| chronic: Yes | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| chronic: No | -0.12 | -0.67 – 0.42 | 0.655 | 0.18 | -0.11 – 0.46 | 0.221 | 0.15 | -0.12 – 0.43 | 0.280 | -0.32 | -0.60 – -0.04 | 0.025 | -0.13 | -0.34 – 0.07 | 0.203 | 0.04 | -0.52 – 0.59 | 0.891 |
| cald_lote: No, English only | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| cald_lote: Yes, other language (please specify) | -0.00 | -0.44 – 0.43 | 0.983 | -0.27 | -0.57 – 0.03 | 0.075 | -0.47 | -0.89 – -0.05 | 0.029 | -0.28 | -0.61 – 0.04 | 0.089 | -0.23 | -0.46 – -0.00 | 0.049 | -0.49 | -1.12 – 0.14 | 0.129 |
| children: Yes | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| children: No | -0.28 | -0.68 – 0.13 | 0.187 | 0.02 | -0.27 – 0.30 | 0.915 | -0.10 | -0.46 – 0.25 | 0.574 | -0.11 | -0.43 – 0.21 | 0.514 | -0.22 | -0.45 – 0.00 | 0.054 | 0.67 | 0.10 – 1.24 | 0.022 |
| region_aus_type: Major city | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| region_aus_type: Inner regional | 0.41 | -0.14 – 0.96 | 0.144 | -0.09 | -0.42 – 0.24 | 0.611 | -0.36 | -0.73 – 0.01 | 0.058 | -0.12 | -0.46 – 0.21 | 0.470 | 0.05 | -0.20 – 0.29 | 0.693 | -0.01 | -0.76 – 0.75 | 0.986 |
| region_aus_type: Outer regional | 1.07 | -0.24 – 2.38 | 0.110 | 0.01 | -0.68 – 0.71 | 0.968 | -0.33 | -1.04 – 0.38 | 0.360 | -0.21 | -0.97 – 0.54 | 0.578 | -0.17 | -0.64 – 0.29 | 0.464 | -1.16 | -2.86 – 0.53 | 0.177 |
| Observations | 685 | 745 | 346 | 904 | 1215 | 357 | ||||||||||||
| R2 / R2 adjusted | 0.073 / 0.045 | 0.048 / 0.022 | 0.155 / 0.103 | 0.031 / 0.009 | 0.028 / 0.011 | 0.076 / 0.021 | ||||||||||||
| Worked risk | Restaurant/cafe risk | Medical care risk | Social contact with friends/family risk | Bought goods/services risk | Public activities risk | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictors | std. Beta | standardized CI | p | std. Beta | standardized CI | p | std. Beta | standardized CI | p | std. Beta | standardized CI | p | std. Beta | standardized CI | p | std. Beta | standardized CI | p |
| Local or city health authority | -0.09 | -0.18 – 0.01 | 0.067 | 0.03 | -0.04 – 0.11 | 0.343 | -0.07 | -0.14 – 0.00 | 0.060 | -0.03 | -0.10 – 0.04 | 0.465 | -0.05 | -0.12 – 0.02 | 0.158 | -0.08 | -0.15 – -0.01 | 0.034 |
| State political leaders | -0.05 | -0.15 – 0.04 | 0.284 | 0.08 | 0.00 – 0.15 | 0.042 | 0.09 | 0.02 – 0.17 | 0.015 | 0.12 | 0.05 – 0.19 | 0.001 | 0.10 | 0.02 – 0.17 | 0.010 | 0.06 | -0.01 – 0.13 | 0.110 |
| State, province, or regional health authority | 0.22 | 0.10 – 0.33 | <0.001 | -0.02 | -0.11 – 0.07 | 0.688 | -0.02 | -0.10 – 0.07 | 0.725 | 0.05 | -0.04 – 0.13 | 0.293 | 0.02 | -0.07 – 0.11 | 0.617 | 0.10 | 0.02 – 0.19 | 0.020 |
| gender: Male | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| gender: Female | 0.18 | 0.04 – 0.32 | 0.014 | 0.10 | -0.01 – 0.21 | 0.071 | 0.19 | 0.08 – 0.29 | 0.001 | 0.23 | 0.13 – 0.34 | <0.001 | 0.17 | 0.07 – 0.28 | 0.001 | 0.15 | 0.05 – 0.26 | 0.005 |
| agegroup: 18-29 | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| agegroup: 30-39 | 0.11 | -0.10 – 0.32 | 0.298 | 0.31 | 0.13 – 0.48 | 0.001 | 0.12 | -0.06 – 0.30 | 0.184 | 0.08 | -0.10 – 0.26 | 0.367 | 0.12 | -0.06 – 0.30 | 0.186 | 0.13 | -0.05 – 0.30 | 0.153 |
| agegroup: 40-49 | -0.00 | -0.24 – 0.23 | 0.983 | 0.17 | -0.03 – 0.37 | 0.101 | -0.02 | -0.22 – 0.18 | 0.839 | 0.01 | -0.18 – 0.21 | 0.898 | -0.02 | -0.22 – 0.18 | 0.859 | -0.04 | -0.24 – 0.16 | 0.706 |
| agegroup: 50-59 | -0.15 | -0.38 – 0.08 | 0.204 | 0.24 | 0.05 – 0.42 | 0.012 | -0.02 | -0.20 – 0.16 | 0.848 | 0.12 | -0.06 – 0.30 | 0.198 | 0.07 | -0.12 – 0.25 | 0.480 | 0.12 | -0.06 – 0.30 | 0.207 |
| agegroup: 60-69 | -0.20 | -0.49 – 0.09 | 0.167 | 0.23 | 0.04 – 0.42 | 0.019 | -0.06 | -0.25 – 0.13 | 0.514 | 0.08 | -0.10 – 0.27 | 0.380 | 0.03 | -0.16 – 0.22 | 0.732 | 0.11 | -0.08 – 0.30 | 0.250 |
| agegroup: 70-79 | -0.11 | -0.53 – 0.30 | 0.591 | 0.31 | 0.11 – 0.51 | 0.003 | -0.27 | -0.47 – -0.07 | 0.008 | -0.02 | -0.22 – 0.17 | 0.816 | 0.07 | -0.13 – 0.27 | 0.511 | 0.15 | -0.05 – 0.35 | 0.143 |
| agegroup: 80 and over | 0.01 | -1.37 – 1.39 | 0.985 | 0.52 | 0.20 – 0.84 | 0.001 | -0.10 | -0.41 – 0.22 | 0.551 | 0.10 | -0.21 – 0.42 | 0.526 | 0.09 | -0.23 – 0.41 | 0.579 | 0.27 | -0.05 – 0.58 | 0.096 |
| education: Some high school | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| education: Completed high school | 0.24 | -0.15 – 0.64 | 0.228 | 0.04 | -0.18 – 0.26 | 0.725 | 0.18 | -0.04 – 0.40 | 0.100 | 0.14 | -0.07 – 0.36 | 0.190 | 0.07 | -0.15 – 0.29 | 0.507 | 0.02 | -0.20 – 0.23 | 0.869 |
|
education: Associate’s degree or technical education |
0.31 | -0.08 – 0.70 | 0.115 | 0.02 | -0.19 – 0.23 | 0.845 | 0.19 | -0.02 – 0.41 | 0.074 | 0.15 | -0.06 – 0.36 | 0.156 | 0.08 | -0.13 – 0.30 | 0.455 | 0.16 | -0.05 – 0.37 | 0.141 |
| education: Undergraduate degree | 0.31 | -0.07 – 0.70 | 0.106 | 0.02 | -0.19 – 0.23 | 0.855 | 0.17 | -0.05 – 0.38 | 0.128 | 0.19 | -0.02 – 0.40 | 0.084 | 0.04 | -0.17 – 0.25 | 0.717 | 0.12 | -0.09 – 0.33 | 0.274 |
| education: Master’s degree | 0.35 | -0.06 – 0.76 | 0.092 | 0.09 | -0.15 – 0.34 | 0.461 | 0.06 | -0.19 – 0.30 | 0.639 | 0.19 | -0.06 – 0.43 | 0.136 | -0.07 | -0.32 – 0.18 | 0.584 | 0.10 | -0.14 – 0.34 | 0.420 |
| education: Doctorate | 0.57 | -0.04 – 1.18 | 0.065 | -0.17 | -0.64 – 0.29 | 0.468 | 0.17 | -0.30 – 0.64 | 0.478 | 0.33 | -0.14 – 0.79 | 0.168 | 0.02 | -0.44 – 0.49 | 0.917 | 0.39 | -0.08 – 0.85 | 0.103 |
| chronic: Yes | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| chronic: No | -0.11 | -0.33 – 0.11 | 0.335 | -0.22 | -0.36 – -0.09 | 0.001 | -0.12 | -0.26 – 0.01 | 0.073 | -0.24 | -0.37 – -0.10 | <0.001 | -0.26 | -0.40 – -0.13 | <0.001 | -0.26 | -0.39 – -0.13 | <0.001 |
| cald_lote: No, English only | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| cald_lote: Yes, other language (please specify) | 0.11 | -0.08 – 0.29 | 0.248 | 0.31 | 0.16 – 0.46 | <0.001 | 0.26 | 0.11 – 0.41 | 0.001 | 0.24 | 0.10 – 0.39 | 0.001 | 0.27 | 0.13 – 0.42 | <0.001 | 0.35 | 0.21 – 0.50 | <0.001 |
| children: Yes | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| children: No | -0.13 | -0.30 – 0.05 | 0.156 | -0.09 | -0.23 – 0.06 | 0.246 | -0.11 | -0.25 – 0.04 | 0.151 | -0.16 | -0.30 – -0.01 | 0.034 | -0.18 | -0.32 – -0.03 | 0.020 | -0.20 | -0.35 – -0.05 | 0.008 |
| region_aus_type: Major city | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| region_aus_type: Inner regional | -0.01 | -0.24 – 0.23 | 0.953 | -0.01 | -0.17 – 0.15 | 0.868 | 0.01 | -0.14 – 0.17 | 0.860 | 0.09 | -0.07 – 0.25 | 0.271 | -0.02 | -0.18 – 0.14 | 0.769 | -0.01 | -0.16 – 0.15 | 0.939 |
| region_aus_type: Outer regional | 0.28 | -0.25 – 0.81 | 0.294 | 0.05 | -0.25 – 0.36 | 0.738 | -0.08 | -0.39 – 0.23 | 0.611 | -0.01 | -0.31 – 0.30 | 0.958 | -0.08 | -0.39 – 0.23 | 0.607 | -0.03 | -0.33 – 0.28 | 0.861 |
| Observations | 799 | 1397 | 1398 | 1396 | 1394 | 1400 | ||||||||||||
| R2 / R2 adjusted | 0.060 / 0.036 | 0.049 / 0.035 | 0.053 / 0.039 | 0.066 / 0.052 | 0.047 / 0.033 | 0.063 / 0.049 | ||||||||||||
| Work (intentions) | Restaurant/cafe (intentions) | Medical care (intentions) | Social contact with friends/family (intentions) | Buy goods/services (intentions) | Public activities (intentions) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictors | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p |
| Local or city health authority | -0.08 | -0.21 – 0.06 | 0.254 | -0.04 | -0.11 – 0.03 | 0.247 | 0.10 | 0.05 – 0.16 | <0.001 | -0.03 | -0.14 – 0.09 | 0.639 | 0.04 | -0.04 – 0.11 | 0.355 | 0.11 | 0.02 – 0.20 | 0.012 |
| State political leaders | 0.03 | -0.09 – 0.15 | 0.661 | 0.07 | 0.00 – 0.14 | 0.039 | 0.08 | 0.03 – 0.13 | 0.001 | 0.16 | 0.06 – 0.27 | 0.003 | 0.06 | -0.01 – 0.13 | 0.071 | 0.05 | -0.03 – 0.13 | 0.186 |
| State, province, or regional health authority | -0.00 | -0.16 – 0.16 | 0.995 | -0.03 | -0.12 – 0.06 | 0.548 | -0.14 | -0.21 – -0.07 | <0.001 | -0.08 | -0.22 – 0.06 | 0.261 | -0.12 | -0.22 – -0.03 | 0.012 | -0.13 | -0.24 – -0.02 | 0.018 |
| gender: Male | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| gender: Female | -0.22 | -0.50 – 0.06 | 0.120 | -0.31 | -0.46 – -0.16 | <0.001 | -0.09 | -0.21 – 0.02 | 0.118 | 0.41 | 0.17 – 0.65 | 0.001 | -0.19 | -0.35 – -0.03 | 0.021 | -0.15 | -0.33 – 0.03 | 0.107 |
| agegroup: 18-29 | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| agegroup: 30-39 | 0.02 | -0.39 – 0.44 | 0.910 | -0.19 | -0.44 – 0.06 | 0.138 | 0.08 | -0.11 – 0.27 | 0.428 | -0.74 | -1.14 – -0.33 | <0.001 | -0.02 | -0.29 – 0.24 | 0.855 | -0.12 | -0.43 – 0.18 | 0.425 |
| agegroup: 40-49 | -0.08 | -0.54 – 0.38 | 0.741 | -0.58 | -0.86 – -0.29 | <0.001 | -0.21 | -0.42 – 0.00 | 0.054 | -0.81 | -1.26 – -0.36 | <0.001 | -0.20 | -0.50 – 0.10 | 0.191 | -0.32 | -0.66 – 0.02 | 0.069 |
| agegroup: 50-59 | 0.19 | -0.25 – 0.64 | 0.391 | -0.82 | -1.08 – -0.56 | <0.001 | -0.18 | -0.37 – 0.02 | 0.078 | -0.39 | -0.80 – 0.03 | 0.066 | 0.08 | -0.20 – 0.35 | 0.582 | -0.42 | -0.73 – -0.10 | 0.009 |
| agegroup: 60-69 | -0.22 | -0.79 – 0.34 | 0.437 | -0.94 | -1.21 – -0.67 | <0.001 | -0.25 | -0.46 – -0.04 | 0.017 | -0.14 | -0.57 – 0.29 | 0.517 | 0.14 | -0.14 – 0.43 | 0.332 | -0.24 | -0.57 – 0.08 | 0.144 |
| agegroup: 70-79 | -0.73 | -1.54 – 0.08 | 0.078 | -1.15 | -1.44 – -0.87 | <0.001 | -0.09 | -0.30 – 0.13 | 0.427 | -0.19 | -0.64 – 0.26 | 0.416 | -0.08 | -0.38 – 0.22 | 0.614 | -0.19 | -0.53 – 0.15 | 0.269 |
| agegroup: 80 and over | 0.15 | -2.54 – 2.85 | 0.911 | -1.25 | -1.70 – -0.79 | <0.001 | 0.17 | -0.17 – 0.51 | 0.325 | 0.03 | -0.68 – 0.75 | 0.926 | -0.21 | -0.69 – 0.26 | 0.383 | -0.62 | -1.17 – -0.08 | 0.024 |
| education: Some high school | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| education: Completed high school | -0.38 | -1.16 – 0.39 | 0.332 | -0.19 | -0.50 – 0.12 | 0.229 | 0.11 | -0.13 – 0.34 | 0.362 | 0.51 | 0.02 – 1.00 | 0.043 | 0.08 | -0.24 – 0.41 | 0.620 | -0.26 | -0.63 – 0.11 | 0.172 |
|
education: Associate’s degree or technical education |
-0.30 | -1.06 – 0.46 | 0.437 | -0.12 | -0.42 – 0.19 | 0.449 | 0.14 | -0.09 – 0.37 | 0.229 | 0.38 | -0.10 – 0.86 | 0.125 | 0.13 | -0.19 – 0.45 | 0.416 | -0.09 | -0.45 – 0.28 | 0.638 |
| education: Undergraduate degree | 0.04 | -0.71 – 0.78 | 0.925 | -0.13 | -0.44 – 0.17 | 0.394 | 0.18 | -0.05 – 0.41 | 0.121 | 0.61 | 0.13 – 1.09 | 0.013 | 0.25 | -0.07 – 0.57 | 0.130 | -0.03 | -0.39 – 0.34 | 0.876 |
| education: Master’s degree | -0.09 | -0.89 – 0.70 | 0.819 | -0.08 | -0.43 – 0.27 | 0.656 | 0.27 | 0.00 – 0.53 | 0.048 | 0.53 | -0.03 – 1.08 | 0.064 | 0.10 | -0.27 – 0.47 | 0.600 | 0.19 | -0.23 – 0.61 | 0.368 |
| education: Doctorate | 0.50 | -0.69 – 1.68 | 0.413 | -0.33 | -0.99 – 0.34 | 0.337 | 0.03 | -0.47 – 0.54 | 0.892 | 1.22 | 0.17 – 2.28 | 0.023 | 0.39 | -0.31 – 1.09 | 0.278 | 0.05 | -0.75 – 0.85 | 0.905 |
| chronic: Yes | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| chronic: No | 0.43 | -0.01 – 0.86 | 0.053 | 0.03 | -0.16 – 0.22 | 0.737 | -0.47 | -0.61 – -0.32 | <0.001 | -0.04 | -0.34 – 0.26 | 0.796 | -0.05 | -0.25 – 0.16 | 0.655 | 0.09 | -0.13 – 0.32 | 0.419 |
| cald_lote: No, English only | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| cald_lote: Yes, other language (please specify) | -0.10 | -0.46 – 0.26 | 0.577 | -0.24 | -0.46 – -0.03 | 0.023 | -0.28 | -0.44 – -0.12 | 0.001 | -0.13 | -0.47 – 0.20 | 0.431 | -0.13 | -0.35 – 0.09 | 0.255 | -0.31 | -0.57 – -0.06 | 0.015 |
| children: Yes | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| children: No | 0.00 | -0.34 – 0.35 | 0.980 | -0.06 | -0.27 – 0.15 | 0.556 | -0.17 | -0.33 – -0.01 | 0.038 | 0.11 | -0.22 – 0.44 | 0.520 | -0.15 | -0.38 – 0.07 | 0.171 | 0.08 | -0.18 – 0.33 | 0.555 |
| region_aus_type: Major city | Reference | Reference | Reference | Reference | Reference | Reference | ||||||||||||
| region_aus_type: Inner regional | 0.40 | -0.06 – 0.85 | 0.088 | -0.01 | -0.24 – 0.21 | 0.909 | -0.14 | -0.31 – 0.03 | 0.102 | 0.12 | -0.24 – 0.49 | 0.503 | -0.19 | -0.42 – 0.05 | 0.130 | -0.21 | -0.49 – 0.06 | 0.127 |
| region_aus_type: Outer regional | -0.20 | -1.23 – 0.84 | 0.706 | -0.39 | -0.83 – 0.04 | 0.078 | -0.27 | -0.60 – 0.06 | 0.105 | -0.67 | -1.37 – 0.02 | 0.057 | -0.38 | -0.84 – 0.08 | 0.102 | -0.68 | -1.21 – -0.16 | 0.011 |
| Observations | 800 | 1399 | 1400 | 1398 | 1399 | 1400 | ||||||||||||
| R2 / R2 adjusted | 0.031 / 0.006 | 0.091 / 0.078 | 0.068 / 0.055 | 0.048 / 0.034 | 0.020 / 0.006 | 0.033 / 0.019 | ||||||||||||
| Public transport (past week) | Private transport (past week) | Active transport (past week) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Predictors | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p |
| Local or city health authority | 0.06 | 0.01 – 0.11 | 0.019 | -0.06 | -0.17 – 0.04 | 0.230 | 0.04 | -0.05 – 0.12 | 0.380 |
| State political leaders | 0.04 | -0.00 – 0.09 | 0.051 | -0.08 | -0.18 – 0.02 | 0.117 | 0.07 | -0.01 – 0.14 | 0.091 |
| State, province, or regional health authority | -0.06 | -0.12 – 0.00 | 0.056 | 0.12 | -0.02 – 0.25 | 0.087 | -0.04 | -0.15 – 0.06 | 0.422 |
| gender: Male | Reference | Reference | Reference | ||||||
| gender: Female | -0.11 | -0.21 – -0.01 | 0.034 | -0.16 | -0.38 – 0.07 | 0.169 | -0.26 | -0.43 – -0.08 | 0.005 |
| agegroup: 18-29 | Reference | Reference | Reference | ||||||
| agegroup: 30-39 | -0.06 | -0.23 – 0.11 | 0.470 | -0.05 | -0.42 – 0.33 | 0.807 | -0.04 | -0.34 – 0.25 | 0.780 |
| agegroup: 40-49 | -0.30 | -0.49 – -0.11 | 0.002 | -0.06 | -0.47 – 0.36 | 0.786 | -0.56 | -0.89 – -0.23 | 0.001 |
| agegroup: 50-59 | -0.34 | -0.52 – -0.17 | <0.001 | 0.46 | 0.08 – 0.84 | 0.019 | -0.42 | -0.73 – -0.12 | 0.006 |
| agegroup: 60-69 | -0.32 | -0.51 – -0.14 | 0.001 | 0.06 | -0.34 – 0.46 | 0.764 | -0.33 | -0.64 – -0.01 | 0.044 |
| agegroup: 70-79 | -0.36 | -0.55 – -0.16 | <0.001 | -0.22 | -0.64 – 0.20 | 0.305 | -0.50 | -0.83 – -0.17 | 0.003 |
| agegroup: 80 and over | -0.46 | -0.78 – -0.15 | 0.004 | -0.49 | -1.15 – 0.17 | 0.143 | -0.45 | -1.00 – 0.10 | 0.109 |
| education: Some high school | Reference | Reference | Reference | ||||||
| education: Completed high school | -0.14 | -0.35 – 0.07 | 0.187 | 0.08 | -0.38 – 0.53 | 0.741 | -0.04 | -0.41 – 0.33 | 0.831 |
|
education: Associate’s degree or technical education |
-0.17 | -0.38 – 0.03 | 0.103 | 0.25 | -0.20 – 0.70 | 0.271 | -0.01 | -0.37 – 0.35 | 0.952 |
| education: Undergraduate degree | -0.17 | -0.37 – 0.04 | 0.114 | 0.23 | -0.21 – 0.68 | 0.309 | 0.06 | -0.30 – 0.42 | 0.762 |
| education: Master’s degree | 0.05 | -0.18 – 0.29 | 0.665 | 0.12 | -0.40 – 0.63 | 0.656 | 0.10 | -0.31 – 0.51 | 0.635 |
| education: Doctorate | -0.34 | -0.79 – 0.11 | 0.142 | -0.48 | -1.47 – 0.52 | 0.346 | 1.16 | 0.37 – 1.95 | 0.004 |
| chronic: Yes | Reference | Reference | Reference | ||||||
| chronic: No | -0.01 | -0.14 – 0.12 | 0.891 | 0.16 | -0.12 – 0.44 | 0.271 | 0.15 | -0.07 – 0.38 | 0.179 |
| cald_lote: No, English only | Reference | Reference | Reference | ||||||
| cald_lote: Yes, other language (please specify) | -0.11 | -0.25 – 0.04 | 0.143 | -0.23 | -0.54 – 0.08 | 0.152 | -0.27 | -0.52 – -0.02 | 0.033 |
| children: Yes | Reference | Reference | Reference | ||||||
| children: No | -0.09 | -0.23 – 0.05 | 0.220 | -0.47 | -0.78 – -0.16 | 0.003 | 0.14 | -0.10 – 0.39 | 0.258 |
| region_aus_type: Major city | Reference | Reference | Reference | ||||||
| region_aus_type: Inner regional | -0.10 | -0.26 – 0.05 | 0.187 | 0.30 | -0.03 – 0.64 | 0.076 | -0.22 | -0.49 – 0.05 | 0.106 |
| region_aus_type: Outer regional | -0.28 | -0.58 – 0.01 | 0.062 | 0.53 | -0.10 – 1.17 | 0.101 | -0.21 | -0.72 – 0.30 | 0.411 |
| Observations | 1378 | 1387 | 1364 | ||||||
| R2 / R2 adjusted | 0.052 / 0.038 | 0.031 / 0.017 | 0.044 / 0.030 | ||||||
| Public transport risk | Private transport risk | Active transport risk | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Predictors | std. Beta | standardized CI | p | std. Beta | standardized CI | p | std. Beta | standardized CI | p |
| Local or city health authority | -0.13 | -0.20 – -0.06 | <0.001 | 0.05 | -0.02 – 0.12 | 0.182 | 0.01 | -0.06 – 0.09 | 0.688 |
| State political leaders | 0.06 | -0.02 – 0.13 | 0.131 | 0.03 | -0.04 – 0.11 | 0.366 | 0.08 | 0.01 – 0.16 | 0.030 |
| State, province, or regional health authority | 0.12 | 0.03 – 0.21 | 0.008 | -0.05 | -0.14 – 0.04 | 0.255 | -0.07 | -0.16 – 0.02 | 0.140 |
| gender: Male | Reference | Reference | Reference | ||||||
| gender: Female | 0.27 | 0.16 – 0.38 | <0.001 | -0.02 | -0.13 – 0.09 | 0.680 | 0.12 | 0.02 – 0.23 | 0.025 |
| agegroup: 18-29 | Reference | Reference | Reference | ||||||
| agegroup: 30-39 | 0.13 | -0.05 – 0.31 | 0.168 | 0.09 | -0.10 – 0.27 | 0.356 | 0.18 | 0.00 – 0.37 | 0.050 |
| agegroup: 40-49 | 0.05 | -0.15 – 0.25 | 0.639 | -0.17 | -0.37 – 0.04 | 0.110 | -0.05 | -0.25 – 0.16 | 0.648 |
| agegroup: 50-59 | 0.07 | -0.11 – 0.26 | 0.439 | -0.22 | -0.41 – -0.03 | 0.022 | -0.03 | -0.22 – 0.16 | 0.762 |
| agegroup: 60-69 | 0.14 | -0.05 – 0.34 | 0.143 | -0.30 | -0.49 – -0.10 | 0.003 | 0.01 | -0.18 – 0.21 | 0.891 |
| agegroup: 70-79 | 0.15 | -0.05 – 0.35 | 0.144 | -0.23 | -0.44 – -0.03 | 0.025 | 0.25 | 0.04 – 0.45 | 0.019 |
| agegroup: 80 and over | 0.14 | -0.18 – 0.46 | 0.393 | -0.11 | -0.43 – 0.21 | 0.515 | 0.43 | 0.11 – 0.76 | 0.009 |
| education: Some high school | Reference | Reference | Reference | ||||||
| education: Completed high school | 0.16 | -0.06 – 0.38 | 0.144 | 0.01 | -0.21 – 0.24 | 0.900 | 0.03 | -0.19 – 0.25 | 0.807 |
|
education: Associate’s degree or technical education |
0.24 | 0.03 – 0.46 | 0.026 | -0.04 | -0.26 – 0.17 | 0.684 | 0.14 | -0.08 – 0.35 | 0.222 |
| education: Undergraduate degree | 0.19 | -0.03 – 0.40 | 0.085 | 0.02 | -0.20 – 0.24 | 0.847 | 0.06 | -0.16 – 0.27 | 0.608 |
| education: Master’s degree | 0.12 | -0.13 – 0.37 | 0.340 | 0.06 | -0.19 – 0.31 | 0.640 | 0.08 | -0.17 – 0.33 | 0.548 |
| education: Doctorate | 0.56 | 0.09 – 1.02 | 0.019 | 0.09 | -0.39 – 0.57 | 0.722 | -0.03 | -0.50 – 0.44 | 0.911 |
| chronic: Yes | Reference | Reference | Reference | ||||||
| chronic: No | -0.12 | -0.26 – 0.01 | 0.079 | -0.18 | -0.32 – -0.04 | 0.010 | -0.20 | -0.33 – -0.06 | 0.005 |
| cald_lote: No, English only | Reference | Reference | Reference | ||||||
| cald_lote: Yes, other language (please specify) | 0.28 | 0.13 – 0.43 | <0.001 | 0.06 | -0.09 – 0.21 | 0.434 | 0.23 | 0.08 – 0.38 | 0.003 |
| children: Yes | Reference | Reference | Reference | ||||||
| children: No | -0.19 | -0.34 – -0.04 | 0.012 | -0.04 | -0.20 – 0.11 | 0.576 | -0.24 | -0.39 – -0.09 | 0.002 |
| region_aus_type: Major city | Reference | Reference | Reference | ||||||
| region_aus_type: Inner regional | 0.06 | -0.10 – 0.23 | 0.442 | -0.13 | -0.30 – 0.03 | 0.116 | -0.08 | -0.24 – 0.09 | 0.366 |
| region_aus_type: Outer regional | 0.17 | -0.14 – 0.48 | 0.272 | -0.47 | -0.78 – -0.16 | 0.003 | -0.08 | -0.39 – 0.23 | 0.623 |
| Observations | 1346 | 1350 | 1344 | ||||||
| R2 / R2 adjusted | 0.063 / 0.049 | 0.038 / 0.024 | 0.046 / 0.032 | ||||||
| Public transport (intentions) | Private transport (intentions) | Active transport (intentions) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Predictors | Estimates | 95% CI | p | Estimates | 95% CI | p | Estimates | 95% CI | p |
| Local or city health authority | 0.07 | 0.02 – 0.12 | 0.008 | -0.08 | -0.19 – 0.02 | 0.132 | 0.04 | -0.05 – 0.13 | 0.338 |
| State political leaders | 0.07 | 0.02 – 0.11 | 0.004 | -0.02 | -0.12 – 0.08 | 0.724 | 0.04 | -0.04 – 0.12 | 0.321 |
| State, province, or regional health authority | -0.10 | -0.16 – -0.03 | 0.003 | 0.09 | -0.04 – 0.23 | 0.165 | -0.03 | -0.15 – 0.08 | 0.548 |
| gender: Male | Reference | Reference | Reference | ||||||
| gender: Female | -0.14 | -0.24 – -0.03 | 0.013 | -0.18 | -0.41 – 0.05 | 0.118 | -0.22 | -0.41 – -0.03 | 0.024 |
| agegroup: 18-29 | Reference | Reference | Reference | ||||||
| agegroup: 30-39 | -0.02 | -0.20 – 0.15 | 0.787 | -0.04 | -0.42 – 0.33 | 0.823 | -0.27 | -0.58 – 0.05 | 0.094 |
| agegroup: 40-49 | -0.29 | -0.48 – -0.09 | 0.005 | 0.07 | -0.36 – 0.49 | 0.759 | -0.61 | -0.96 – -0.26 | 0.001 |
| agegroup: 50-59 | -0.39 | -0.57 – -0.20 | <0.001 | 0.26 | -0.13 – 0.65 | 0.185 | -0.49 | -0.81 – -0.17 | 0.003 |
| agegroup: 60-69 | -0.38 | -0.57 – -0.19 | <0.001 | 0.07 | -0.33 – 0.48 | 0.727 | -0.51 | -0.84 – -0.17 | 0.003 |
| agegroup: 70-79 | -0.43 | -0.63 – -0.23 | <0.001 | -0.19 | -0.62 – 0.23 | 0.370 | -0.50 | -0.85 – -0.14 | 0.006 |
| agegroup: 80 and over | -0.30 | -0.63 – 0.02 | 0.066 | -0.58 | -1.26 – 0.10 | 0.095 | -0.59 | -1.16 – -0.01 | 0.045 |
| education: Some high school | Reference | Reference | Reference | ||||||
| education: Completed high school | -0.17 | -0.39 – 0.05 | 0.131 | -0.05 | -0.52 – 0.41 | 0.818 | 0.09 | -0.30 – 0.47 | 0.660 |
|
education: Associate’s degree or technical education |
-0.09 | -0.30 – 0.12 | 0.411 | 0.07 | -0.38 – 0.53 | 0.752 | 0.01 | -0.37 – 0.39 | 0.943 |
| education: Undergraduate degree | -0.08 | -0.29 – 0.14 | 0.488 | 0.13 | -0.32 – 0.58 | 0.573 | 0.15 | -0.23 – 0.53 | 0.428 |
| education: Master’s degree | 0.19 | -0.05 – 0.44 | 0.124 | -0.03 | -0.55 – 0.50 | 0.915 | 0.21 | -0.23 – 0.65 | 0.347 |
| education: Doctorate | -0.22 | -0.68 – 0.25 | 0.358 | -0.94 | -1.95 – 0.07 | 0.067 | 1.12 | 0.29 – 1.95 | 0.008 |
| chronic: Yes | Reference | Reference | Reference | ||||||
| chronic: No | -0.00 | -0.14 – 0.13 | 0.965 | 0.20 | -0.08 – 0.49 | 0.162 | 0.11 | -0.12 – 0.35 | 0.352 |
| cald_lote: No, English only | Reference | Reference | Reference | ||||||
| cald_lote: Yes, other language (please specify) | -0.21 | -0.36 – -0.07 | 0.005 | -0.15 | -0.46 – 0.17 | 0.361 | -0.21 | -0.47 – 0.06 | 0.122 |
| children: Yes | Reference | Reference | Reference | ||||||
| children: No | -0.01 | -0.16 – 0.14 | 0.896 | -0.48 | -0.79 – -0.17 | 0.003 | 0.10 | -0.16 – 0.36 | 0.460 |
| region_aus_type: Major city | Reference | Reference | Reference | ||||||
| region_aus_type: Inner regional | -0.10 | -0.26 – 0.06 | 0.218 | 0.27 | -0.07 – 0.61 | 0.118 | -0.19 | -0.47 – 0.09 | 0.184 |
| region_aus_type: Outer regional | -0.28 | -0.58 – 0.03 | 0.076 | 0.49 | -0.16 – 1.14 | 0.139 | -0.33 | -0.87 – 0.21 | 0.226 |
| Observations | 1376 | 1382 | 1369 | ||||||
| R2 / R2 adjusted | 0.067 / 0.053 | 0.029 / 0.014 | 0.036 / 0.022 | ||||||
| Activity | Total days | Total respondents |
|---|---|---|
| active_w3_pastwk_beh | 1134 | 1435 |
| activities_w3_pastwk_beh | 1114 | 1473 |
| activities_w3_pastwk_inperson | 916 | 377 |
| activities_w3_pastwk_remote | 552 | 354 |
| cafe_w3_pastwk_beh | 1646 | 1473 |
| cafe_w3_pastwk_inperson | 1194 | 788 |
| cafe_w3_pastwk_remote | 641 | 750 |
| medical_w3_pastwk_beh | 687 | 1474 |
| medical_w3_pastwk_inperson | 484 | 367 |
| medical_w3_pastwk_remote | 377 | 349 |
| private_w3_pastwk_beh | 3441 | 1459 |
| public_w3_pastwk_beh | 429 | 1450 |
| shopping_w3_pastwk_beh | 3090 | 1473 |
| shopping_w3_pastwk_inperson | 2595 | 1277 |
| shopping_w3_pastwk_remote | 923 | 1207 |
| socialise_w3_pastwk_beh | 3566 | 1474 |
| socialise_w3_pastwk_inperson | 1391 | 952 |
| socialise_w3_pastwk_remote | 3012 | 941 |
| work_w3_pastwk_beh | 3192 | 842 |
| work_w3_pastwk_inperson | 1636 | 717 |
| work_w3_pastwk_remote | 1779 | 713 |
The stem for all behaviours was:
Considering the COVID-19 situation, how risky is it to [do behaviour] in person?
The response scale was 1, not at all risky, to 7, extremely risky.
Correlation is calculated between number of days reported doing the activity and the perceived risk of doing the activitiy.
| Worked (past week) | Restaurant/cafe (past week) | Medical care (past week) |
Social contact with friends/family (past week) |
Bought goods/services (past week) | Public activities (past week) | Public transport (past week) | Active transport (past week) | Private transport (past week) | Worked risk | Restaurant/cafe risk | Medical care risk | Social contact with friends/family risk | Bought goods/services risk | Public activities risk | Public transport risk | Active transport risk | Private transport risk | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Worked (past week) | 0.068 | -0.013 | 0.081* | 0.119*** | 0.097** | 0.009 | 0.086* | 0.182*** | -0.096** | -0.059 | -0.120*** | -0.074* | -0.058 | -0.034 | -0.014 | -0.060 | -0.086* | |
| Restaurant/cafe (past week) | 0.068 | 0.261*** | 0.158*** | 0.306*** | 0.233*** | 0.239*** | 0.245*** | 0.136*** | 0.026 | -0.180*** | -0.021 | -0.072* | -0.046 | -0.084* | -0.106** | -0.034 | 0.067 | |
| Medical care (past week) | -0.013 | 0.261*** | 0.167*** | 0.262*** | 0.415*** | 0.358*** | 0.177*** | 0.050 | 0.073* | 0.096** | 0.077* | 0.025 | 0.072* | 0.002 | -0.019 | 0.174*** | 0.246*** | |
|
Social contact with friends/family (past week) |
0.081* | 0.158*** | 0.167*** | 0.194*** | 0.141*** | 0.074* | 0.159*** | 0.156*** | 0.040 | -0.112** | -0.047 | -0.093** | 0.015 | -0.049 | -0.002 | -0.130*** | -0.068 | |
| Bought goods/services (past week) | 0.119*** | 0.306*** | 0.262*** | 0.194*** | 0.211*** | 0.144*** | 0.249*** | 0.238*** | -0.001 | -0.051 | -0.012 | -0.027 | -0.019 | -0.049 | -0.065 | -0.039 | -0.042 | |
| Public activities (past week) | 0.097** | 0.233*** | 0.415*** | 0.141*** | 0.211*** | 0.210*** | 0.275*** | 0.015 | -0.037 | -0.064 | -0.023 | -0.105** | -0.041 | -0.236*** | -0.150*** | -0.046 | 0.097** | |
| Public transport (past week) | 0.009 | 0.239*** | 0.358*** | 0.074* | 0.144*** | 0.210*** | 0.416*** | -0.002 | 0.096** | 0.097** | 0.062 | 0.065 | 0.057 | 0.049 | -0.073* | 0.042 | 0.276*** | |
| Active transport (past week) | 0.086* | 0.245*** | 0.177*** | 0.159*** | 0.249*** | 0.275*** | 0.416*** | 0.036 | -0.086* | -0.095** | -0.106** | -0.074* | -0.113** | -0.092* | -0.090* | -0.162*** | 0.083* | |
| Private transport (past week) | 0.182*** | 0.136*** | 0.050 | 0.156*** | 0.238*** | 0.015 | -0.002 | 0.036 | -0.098** | -0.096** | -0.083* | -0.093** | -0.034 | -0.094** | 0.015 | -0.087* | -0.284*** | |
| Worked risk | -0.096** | 0.026 | 0.073* | 0.040 | -0.001 | -0.037 | 0.096** | -0.086* | -0.098** | 0.410*** | 0.417*** | 0.480*** | 0.514*** | 0.494*** | 0.352*** | 0.270*** | 0.239*** | |
| Restaurant/cafe risk | -0.059 | -0.180*** | 0.096** | -0.112** | -0.051 | -0.064 | 0.097** | -0.095** | -0.096** | 0.410*** | 0.500*** | 0.566*** | 0.624*** | 0.553*** | 0.431*** | 0.418*** | 0.267*** | |
| Medical care risk | -0.120*** | -0.021 | 0.077* | -0.047 | -0.012 | -0.023 | 0.062 | -0.106** | -0.083* | 0.417*** | 0.500*** | 0.502*** | 0.523*** | 0.445*** | 0.409*** | 0.346*** | 0.271*** | |
| Social contact with friends/family risk | -0.074* | -0.072* | 0.025 | -0.093** | -0.027 | -0.105** | 0.065 | -0.074* | -0.093** | 0.480*** | 0.566*** | 0.502*** | 0.582*** | 0.587*** | 0.425*** | 0.328*** | 0.294*** | |
| Bought goods/services risk | -0.058 | -0.046 | 0.072* | 0.015 | -0.019 | -0.041 | 0.057 | -0.113** | -0.034 | 0.514*** | 0.624*** | 0.523*** | 0.582*** | 0.592*** | 0.488*** | 0.371*** | 0.239*** | |
| Public activities risk | -0.034 | -0.084* | 0.002 | -0.049 | -0.049 | -0.236*** | 0.049 | -0.092* | -0.094** | 0.494*** | 0.553*** | 0.445*** | 0.587*** | 0.592*** | 0.513*** | 0.380*** | 0.214*** | |
| Public transport risk | -0.014 | -0.106** | -0.019 | -0.002 | -0.065 | -0.150*** | -0.073* | -0.090* | 0.015 | 0.352*** | 0.431*** | 0.409*** | 0.425*** | 0.488*** | 0.513*** | 0.455*** | 0.100** | |
| Active transport risk | -0.060 | -0.034 | 0.174*** | -0.130*** | -0.039 | -0.046 | 0.042 | -0.162*** | -0.087* | 0.270*** | 0.418*** | 0.346*** | 0.328*** | 0.371*** | 0.380*** | 0.455*** | 0.358*** | |
| Private transport risk | -0.086* | 0.067 | 0.246*** | -0.068 | -0.042 | 0.097** | 0.276*** | 0.083* | -0.284*** | 0.239*** | 0.267*** | 0.271*** | 0.294*** | 0.239*** | 0.214*** | 0.100** | 0.358*** | |
| Computed correlation used pearson-method with listwise-deletion. | ||||||||||||||||||
Correlation is calculated between number of days a person intended to the the activity (either remotely or in person) and the perceived risk of doing the activitiy.
| Work (intentions) | Restaurant/cafe (intentions) | Medical care (intentions) |
Social contact with friends/family (intentions) |
Buy goods/services (intentions) | Public activities (intentions) | Public transport (intentions) | Active transport (intentions) | Private transport (intentions) | Worked risk | Restaurant/cafe risk | Medical care risk | Social contact with friends/family risk | Bought goods/services risk | Public activities risk | Public transport risk | Active transport risk | Private transport risk | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Work (intentions) | 0.084* | 0.010 | 0.095** | 0.124*** | 0.120*** | 0.012 | 0.071* | 0.174*** | -0.090* | -0.047 | -0.099** | -0.081* | -0.021 | -0.022 | -0.004 | -0.040 | -0.097** | |
| Restaurant/cafe (intentions) | 0.084* | 0.360*** | 0.236*** | 0.374*** | 0.328*** | 0.330*** | 0.277*** | 0.145*** | 0.019 | -0.156*** | -0.025 | -0.072* | -0.063 | -0.111** | -0.136*** | -0.033 | 0.049 | |
| Medical care (intentions) | 0.010 | 0.360*** | 0.140*** | 0.260*** | 0.365*** | 0.420*** | 0.173*** | 0.051 | 0.124*** | 0.130*** | 0.123*** | 0.096** | 0.134*** | 0.024 | -0.052 | 0.153*** | 0.250*** | |
|
Social contact with friends/family (intentions) |
0.095** | 0.236*** | 0.140*** | 0.226*** | 0.253*** | 0.057 | 0.181*** | 0.136*** | 0.039 | -0.110** | -0.049 | -0.105** | -0.015 | -0.072* | 0.013 | -0.130*** | -0.065 | |
| Buy goods/services (intentions) | 0.124*** | 0.374*** | 0.260*** | 0.226*** | 0.297*** | 0.200*** | 0.305*** | 0.243*** | -0.070* | -0.057 | -0.042 | -0.068 | -0.056 | -0.079* | -0.065 | -0.035 | -0.008 | |
| Public activities (intentions) | 0.120*** | 0.328*** | 0.365*** | 0.253*** | 0.297*** | 0.239*** | 0.287*** | 0.067 | -0.051 | -0.092* | -0.032 | -0.093** | -0.069 | -0.265*** | -0.147*** | -0.079* | 0.056 | |
| Public transport (intentions) | 0.012 | 0.330*** | 0.420*** | 0.057 | 0.200*** | 0.239*** | 0.396*** | 0.002 | 0.092* | 0.085* | 0.064 | 0.066 | 0.007 | 0.048 | -0.106** | 0.052 | 0.285*** | |
| Active transport (intentions) | 0.071* | 0.277*** | 0.173*** | 0.181*** | 0.305*** | 0.287*** | 0.396*** | 0.017 | -0.079* | -0.082* | -0.076* | -0.051 | -0.114** | -0.083* | -0.081* | -0.180*** | 0.096** | |
| Private transport (intentions) | 0.174*** | 0.145*** | 0.051 | 0.136*** | 0.243*** | 0.067 | 0.002 | 0.017 | -0.096** | -0.058 | -0.083* | -0.069 | -0.053 | -0.061 | 0.072* | -0.081* | -0.274*** | |
| Worked risk | -0.090* | 0.019 | 0.124*** | 0.039 | -0.070* | -0.051 | 0.092* | -0.079* | -0.096** | 0.404*** | 0.408*** | 0.468*** | 0.498*** | 0.487*** | 0.349*** | 0.280*** | 0.236*** | |
| Restaurant/cafe risk | -0.047 | -0.156*** | 0.130*** | -0.110** | -0.057 | -0.092* | 0.085* | -0.082* | -0.058 | 0.404*** | 0.504*** | 0.566*** | 0.628*** | 0.560*** | 0.440*** | 0.422*** | 0.249*** | |
| Medical care risk | -0.099** | -0.025 | 0.123*** | -0.049 | -0.042 | -0.032 | 0.064 | -0.076* | -0.083* | 0.408*** | 0.504*** | 0.508*** | 0.530*** | 0.447*** | 0.414*** | 0.337*** | 0.259*** | |
| Social contact with friends/family risk | -0.081* | -0.072* | 0.096** | -0.105** | -0.068 | -0.093** | 0.066 | -0.051 | -0.069 | 0.468*** | 0.566*** | 0.508*** | 0.586*** | 0.586*** | 0.426*** | 0.326*** | 0.280*** | |
| Bought goods/services risk | -0.021 | -0.063 | 0.134*** | -0.015 | -0.056 | -0.069 | 0.007 | -0.114** | -0.053 | 0.498*** | 0.628*** | 0.530*** | 0.586*** | 0.590*** | 0.487*** | 0.369*** | 0.222*** | |
| Public activities risk | -0.022 | -0.111** | 0.024 | -0.072* | -0.079* | -0.265*** | 0.048 | -0.083* | -0.061 | 0.487*** | 0.560*** | 0.447*** | 0.586*** | 0.590*** | 0.512*** | 0.366*** | 0.199*** | |
| Public transport risk | -0.004 | -0.136*** | -0.052 | 0.013 | -0.065 | -0.147*** | -0.106** | -0.081* | 0.072* | 0.349*** | 0.440*** | 0.414*** | 0.426*** | 0.487*** | 0.512*** | 0.444*** | 0.080* | |
| Active transport risk | -0.040 | -0.033 | 0.153*** | -0.130*** | -0.035 | -0.079* | 0.052 | -0.180*** | -0.081* | 0.280*** | 0.422*** | 0.337*** | 0.326*** | 0.369*** | 0.366*** | 0.444*** | 0.364*** | |
| Private transport risk | -0.097** | 0.049 | 0.250*** | -0.065 | -0.008 | 0.056 | 0.285*** | 0.096** | -0.274*** | 0.236*** | 0.249*** | 0.259*** | 0.280*** | 0.222*** | 0.199*** | 0.080* | 0.364*** | |
| Computed correlation used pearson-method with listwise-deletion. | ||||||||||||||||||
Note that only people who indicated doing the behaviour on 1 or more days was asked about whether they did it in person or remotely.
The stem for all behaviours was:
Think back to the past week, from Monday 4 May to Sunday 10 May. On how many of those days did you: [do behaviour]
The stem for remote and in person probe was:
Last week, on how many days did you [do behaviour] in person and how many days did you do it remotely?
“Remotely” typically includes any time that you did the activity from your own home, e.g., over the phone, email or using the internet.
Work at your job
A ‘job’ means any type of work including casual, temporary, part-time or full-time work, if it was for an hour or more.
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Work (intentions) |
101 (12 %) |
38 (5 %) |
70 (8 %) |
91 (11 %) |
102 (12 %) |
371 (44 %) |
33 (4 %) |
35 (4 %) |
| Worked (past week) |
88 (10 %) |
43 (5 %) |
69 (8 %) |
98 (12 %) |
96 (11 %) |
385 (46 %) |
33 (4 %) |
30 (4 %) |
| Worked in person (past week) |
263 (37 %) |
70 (10 %) |
72 (10 %) |
64 (9 %) |
69 (10 %) |
145 (20 %) |
9 (1 %) |
25 (3 %) |
| Worked remotely (past week) |
273 (38 %) |
40 (6 %) |
38 (5 %) |
63 (9 %) |
65 (9 %) |
206 (29 %) |
12 (2 %) |
16 (2 %) |
| No | Yes | |
|---|---|---|
| Work (intentions) |
101 (12 %) |
740 (88 %) |
| Worked (past week) |
88 (10 %) |
754 (90 %) |
| Worked in person (past week) |
263 (37 %) |
454 (63 %) |
| Worked remotely (past week) |
273 (38 %) |
440 (62 %) |
|
Worked in person (past week) |
Worked remotely (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
8 1 % |
252 37 % |
260 38 % |
| Yes |
265 39 % |
156 23 % |
421 62 % |
| Total |
273 40 % |
408 60 % |
681 100 % |
| Worked (past week) | Work (intentions) | Total | |
|---|---|---|---|
| No | Yes | ||
| No |
70 8 % |
18 2 % |
88 10 % |
| Yes |
31 4 % |
722 86 % |
753 90 % |
| Total |
101 12 % |
740 88 % |
841 100 % |
Includes only those people who did the activity at all (>= 1 days) in the past week.
|
Worked in person (past week) |
Work (intentions) | Total | |
|---|---|---|---|
| No | Yes | ||
| No |
19 3 % |
243 34 % |
262 37 % |
| Yes |
12 2 % |
442 62 % |
454 64 % |
| Total |
31 4 % |
685 96 % |
716 100 % |
Purchase prepared food or drink (e.g., from a restaurant or cafe)
For example, eat-in, delivery, or takeaway
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Restaurant/cafe (intentions) |
648 (44 %) |
417 (28 %) |
207 (14 %) |
84 (6 %) |
48 (3 %) |
40 (3 %) |
12 (1 %) |
17 (1 %) |
| Restaurant/cafe (past week) |
662 (45 %) |
395 (27 %) |
225 (15 %) |
67 (5 %) |
62 (4 %) |
38 (3 %) |
6 (0 %) |
18 (1 %) |
| Restaurant/cafe in person (past week) |
178 (23 %) |
322 (41 %) |
148 (19 %) |
59 (7 %) |
34 (4 %) |
31 (4 %) |
4 (1 %) |
12 (2 %) |
| Restaurant/cafe remotely (past week) |
414 (55 %) |
181 (24 %) |
82 (11 %) |
30 (4 %) |
22 (3 %) |
13 (2 %) |
3 (0 %) |
5 (1 %) |
| No | Yes | |
|---|---|---|
| Restaurant/cafe (intentions) |
648 (44 %) |
825 (56 %) |
| Restaurant/cafe (past week) |
662 (45 %) |
811 (55 %) |
| Restaurant/cafe in person (past week) |
178 (23 %) |
610 (77 %) |
| Restaurant/cafe remotely (past week) |
414 (55 %) |
336 (45 %) |
|
Restaurant/cafe in person (past week) |
Restaurant/cafe remotely (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
38 5 % |
137 19 % |
175 24 % |
| Yes |
376 51 % |
180 25 % |
556 76 % |
| Total |
414 57 % |
317 43 % |
731 100 % |
|
Restaurant/cafe (past week) |
Restaurant/cafe (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
523 36 % |
139 9 % |
662 45 % |
| Yes |
125 8 % |
685 47 % |
810 55 % |
| Total |
648 44 % |
824 56 % |
1472 100 % |
For this table, “past week in person” includes only those people who did the activity at all in the past week. “Intentions” refers to the person’s intention to do the activity at all in the past week.
|
Restaurant/cafe in person (past week) |
Restaurant/cafe (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
42 5 % |
136 17 % |
178 22 % |
| Yes |
83 11 % |
526 67 % |
609 78 % |
| Total |
125 16 % |
662 84 % |
787 100 % |
Receive health or medical care
For example, regular appointments for chronic illness, mental health care, in-home care, telephone consultation with doctor
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Medical care (intentions) |
1081 (73 %) |
257 (17 %) |
52 (4 %) |
30 (2 %) |
23 (2 %) |
20 (1 %) |
3 (0 %) |
8 (1 %) |
| Medical care (past week) |
1092 (74 %) |
235 (16 %) |
66 (4 %) |
42 (3 %) |
15 (1 %) |
15 (1 %) |
4 (0 %) |
5 (0 %) |
| Medical care in person (past week) |
77 (21 %) |
186 (51 %) |
51 (14 %) |
27 (7 %) |
19 (5 %) |
4 (1 %) |
2 (1 %) |
1 (0 %) |
| Medical care remotely (past week) |
164 (47 %) |
102 (29 %) |
33 (9 %) |
17 (5 %) |
14 (4 %) |
14 (4 %) |
3 (1 %) |
2 (1 %) |
| No | Yes | |
|---|---|---|
| Medical care (intentions) |
1081 (73 %) |
393 (27 %) |
| Medical care (past week) |
1092 (74 %) |
382 (26 %) |
| Medical care in person (past week) |
77 (21 %) |
290 (79 %) |
| Medical care remotely (past week) |
164 (47 %) |
185 (53 %) |
|
Medical care in person (past week) |
Medical care remotely (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
11 3 % |
64 19 % |
75 22 % |
| Yes |
152 45 % |
109 32 % |
261 77 % |
| Total |
163 49 % |
173 51 % |
336 100 % |
|
Medical care (past week) |
Medical care (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
928 63 % |
164 11 % |
1092 74 % |
| Yes |
153 10 % |
229 16 % |
382 26 % |
| Total |
1081 73 % |
393 27 % |
1474 100 % |
For this table, “past week in person” includes only those people who did the activity at all in the past week. “Intentions” refers to the person’s intention to do the activity at all in the past week.
|
Medical care in person (past week) |
Medical care (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
42 11 % |
35 10 % |
77 21 % |
| Yes |
108 29 % |
182 50 % |
290 79 % |
| Total |
150 41 % |
217 59 % |
367 100 % |
Purchase goods or services (NOT food or drink)
For example, purchase groceries, clothing or household items, send a parcel, inspect a property, rent a movie. Do not include purchasing prepared food or drink
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Buy goods/services (intentions) |
163 (11 %) |
482 (33 %) |
406 (28 %) |
217 (15 %) |
96 (7 %) |
72 (5 %) |
6 (0 %) |
31 (2 %) |
| Bought goods/services (past week) |
176 (12 %) |
410 (28 %) |
411 (28 %) |
246 (17 %) |
113 (8 %) |
68 (5 %) |
15 (1 %) |
34 (2 %) |
|
Bought goods/services in person (past week) |
81 (6 %) |
457 (36 %) |
389 (30 %) |
181 (14 %) |
85 (7 %) |
50 (4 %) |
11 (1 %) |
23 (2 %) |
|
Bought goods/services remotely (past week) |
736 (61 %) |
246 (20 %) |
109 (9 %) |
54 (4 %) |
28 (2 %) |
24 (2 %) |
5 (0 %) |
5 (0 %) |
| No | Yes | |
|---|---|---|
| Buy goods/services (intentions) |
163 (11 %) |
1310 (89 %) |
| Bought goods/services (past week) |
176 (12 %) |
1297 (88 %) |
|
Bought goods/services in person (past week) |
81 (6 %) |
1196 (94 %) |
|
Bought goods/services remotely (past week) |
736 (61 %) |
471 (39 %) |
|
Bought goods/services in person (past week) |
Bought goods/services remotely (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
15 1 % |
63 5 % |
78 6 % |
| Yes |
719 60 % |
395 33 % |
1114 93 % |
| Total |
734 62 % |
458 38 % |
1192 100 % |
|
Bought goods/services (past week) |
Buy goods/services (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
101 7 % |
75 5 % |
176 12 % |
| Yes |
62 4 % |
1234 84 % |
1296 88 % |
| Total |
163 11 % |
1309 89 % |
1472 100 % |
For this table, “past week in person” includes only those people who did the activity at all in the past week. “Intentions” refers to the person’s intention to do the activity at all in the past week.
|
Bought goods/services in person (past week) |
Buy goods/services (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
12 1 % |
69 5 % |
81 6 % |
| Yes |
46 4 % |
1149 90 % |
1195 94 % |
| Total |
58 5 % |
1218 95 % |
1276 100 % |
Participate in public social activities
For example, attend a religious service, visit a public park or playground, participate in a community activity
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Public activities (intentions) |
926 (63 %) |
191 (13 %) |
139 (9 %) |
72 (5 %) |
54 (4 %) |
38 (3 %) |
13 (1 %) |
40 (3 %) |
| Public activities (past week) |
1090 (74 %) |
112 (8 %) |
91 (6 %) |
57 (4 %) |
42 (3 %) |
37 (3 %) |
12 (1 %) |
32 (2 %) |
| Public activities in person (past week) |
55 (15 %) |
96 (25 %) |
84 (22 %) |
52 (14 %) |
26 (7 %) |
23 (6 %) |
10 (3 %) |
31 (8 %) |
| Public activities remotely (past week) |
173 (49 %) |
48 (14 %) |
36 (10 %) |
26 (7 %) |
29 (8 %) |
24 (7 %) |
8 (2 %) |
10 (3 %) |
| No | Yes | |
|---|---|---|
| Public activities (intentions) |
926 (63 %) |
547 (37 %) |
| Public activities (past week) |
1090 (74 %) |
383 (26 %) |
| Public activities in person (past week) |
55 (15 %) |
322 (85 %) |
| Public activities remotely (past week) |
173 (49 %) |
181 (51 %) |
|
Public activities in person (past week) |
Public activities remotely (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
13 4 % |
41 12 % |
54 16 % |
| Yes |
159 46 % |
136 39 % |
295 85 % |
| Total |
172 49 % |
177 51 % |
349 100 % |
|
Public activities (past week) |
Public activities (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
890 60 % |
200 14 % |
1090 74 % |
| Yes |
36 2 % |
346 24 % |
382 26 % |
| Total |
926 63 % |
546 37 % |
1472 100 % |
For this table, “past week in person” includes only those people who did the activity at all in the past week. “Intentions” refers to the person’s intention to do the activity at all in the past week.
|
Public activities in person (past week) |
Public activities (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
19 5 % |
35 9 % |
54 14 % |
| Yes |
16 4 % |
306 81 % |
322 85 % |
| Total |
35 9 % |
341 91 % |
376 100 % |
The stem for intentions was:
Now think about the next 7 days after today. On how many of those days do you intend to [do behaviour]?
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Work (intentions) |
101 (12 %) |
38 (5 %) |
70 (8 %) |
91 (11 %) |
102 (12 %) |
371 (44 %) |
33 (4 %) |
35 (4 %) |
| Restaurant/cafe (intentions) |
648 (44 %) |
417 (28 %) |
207 (14 %) |
84 (6 %) |
48 (3 %) |
40 (3 %) |
12 (1 %) |
17 (1 %) |
| Medical care (intentions) |
1081 (73 %) |
257 (17 %) |
52 (4 %) |
30 (2 %) |
23 (2 %) |
20 (1 %) |
3 (0 %) |
8 (1 %) |
|
Social contact with friends/family (intentions) |
349 (24 %) |
323 (22 %) |
256 (17 %) |
158 (11 %) |
101 (7 %) |
88 (6 %) |
37 (3 %) |
159 (11 %) |
| Buy goods/services (intentions) |
163 (11 %) |
482 (33 %) |
406 (28 %) |
217 (15 %) |
96 (7 %) |
72 (5 %) |
6 (0 %) |
31 (2 %) |
| Public activities (intentions) |
926 (63 %) |
191 (13 %) |
139 (9 %) |
72 (5 %) |
54 (4 %) |
38 (3 %) |
13 (1 %) |
40 (3 %) |
| Public transport (intentions) |
1237 (85 %) |
80 (6 %) |
59 (4 %) |
33 (2 %) |
16 (1 %) |
18 (1 %) |
2 (0 %) |
5 (0 %) |
| Active transport (intentions) |
945 (65 %) |
147 (10 %) |
131 (9 %) |
77 (5 %) |
46 (3 %) |
37 (3 %) |
12 (1 %) |
48 (3 %) |
| Private transport (intentions) |
269 (18 %) |
274 (19 %) |
278 (19 %) |
206 (14 %) |
120 (8 %) |
150 (10 %) |
59 (4 %) |
98 (7 %) |
| No | Yes | |
|---|---|---|
| Public transport (intentions) |
1237 (85 %) |
213 (15 %) |
| Private transport (intentions) |
269 (18 %) |
1185 (82 %) |
| Active transport (intentions) |
945 (65 %) |
498 (35 %) |
| Work (intentions) |
101 (12 %) |
740 (88 %) |
| Restaurant/cafe (intentions) |
648 (44 %) |
825 (56 %) |
| Medical care (intentions) |
1081 (73 %) |
393 (27 %) |
|
Social contact with friends/family (intentions) |
349 (24 %) |
1122 (76 %) |
| Buy goods/services (intentions) |
163 (11 %) |
1310 (89 %) |
| Public activities (intentions) |
926 (63 %) |
547 (37 %) |
|
How would you rate your knowledge about the rules that currently apply to you in your state? |
How frequently are you following the government COVID-19 rules and regulations in your state? |
How many of 100 people in your state do you think are following the government COVID-19 rules and regulations? |
|
|---|---|---|---|
|
How would you rate your knowledge about the rules that currently apply to you in your state? |
0.375*** | 0.199*** | |
|
How frequently are you following the government COVID-19 rules and regulations in your state? |
0.375*** | 0.266*** | |
|
How many of 100 people in your state do you think are following the government COVID-19 rules and regulations? |
0.199*** | 0.266*** | |
| Computed correlation used pearson-method with listwise-deletion. | |||
Specific behaviours:
|
How would you rate your knowledge about the rules that currently apply to you in your state? |
How frequently are you following the government COVID-19 rules and regulations in your state? |
How many of 100 people in your state do you think are following the government COVID-19 rules and regulations? |
Use the COVIDsafe mobile phone app when in public |
Wash hands for 20 seconds with soap and water OR alcohol-based hand sanitiser |
Stay at home |
Keep physical distance from people in public, school, or workplace |
|
|---|---|---|---|---|---|---|---|
|
How would you rate your knowledge about the rules that currently apply to you in your state? |
0.361*** | 0.211*** | 0.160*** | 0.183*** | 0.035 | 0.156*** | |
|
How frequently are you following the government COVID-19 rules and regulations in your state? |
0.361*** | 0.297*** | 0.136*** | 0.273*** | 0.254*** | 0.378*** | |
|
How many of 100 people in your state do you think are following the government COVID-19 rules and regulations? |
0.211*** | 0.297*** | 0.127*** | 0.088** | 0.138*** | 0.154*** | |
|
Use the COVIDsafe mobile phone app when in public |
0.160*** | 0.136*** | 0.127*** | 0.160*** | 0.102*** | 0.128*** | |
|
Wash hands for 20 seconds with soap and water OR alcohol-based hand sanitiser |
0.183*** | 0.273*** | 0.088** | 0.160*** | 0.216*** | 0.398*** | |
| Stay at home | 0.035 | 0.254*** | 0.138*** | 0.102*** | 0.216*** | 0.338*** | |
|
Keep physical distance from people in public, school, or workplace |
0.156*** | 0.378*** | 0.154*** | 0.128*** | 0.398*** | 0.338*** | |
| Computed correlation used pearson-method with listwise-deletion. | |||||||
I present information about transport methods in a few different ways.
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Public transport (intentions) |
1237 (85 %) |
80 (6 %) |
59 (4 %) |
33 (2 %) |
16 (1 %) |
18 (1 %) |
2 (0 %) |
5 (0 %) |
| Public transport (past week) |
1274 (88 %) |
63 (4 %) |
47 (3 %) |
24 (2 %) |
19 (1 %) |
15 (1 %) |
7 (0 %) |
1 (0 %) |
| Active transport (intentions) |
945 (65 %) |
147 (10 %) |
131 (9 %) |
77 (5 %) |
46 (3 %) |
37 (3 %) |
12 (1 %) |
48 (3 %) |
| Active transport (past week) |
1053 (73 %) |
110 (8 %) |
96 (7 %) |
53 (4 %) |
34 (2 %) |
38 (3 %) |
10 (1 %) |
41 (3 %) |
| Private transport (intentions) |
269 (18 %) |
274 (19 %) |
278 (19 %) |
206 (14 %) |
120 (8 %) |
150 (10 %) |
59 (4 %) |
98 (7 %) |
| Private transport (past week) |
317 (22 %) |
289 (20 %) |
294 (20 %) |
168 (12 %) |
124 (8 %) |
127 (9 %) |
51 (4 %) |
89 (6 %) |
| No | Yes | |
|---|---|---|
| Public transport (intentions) |
1237 (85 %) |
213 (15 %) |
| Public transport (past week) |
1274 (88 %) |
176 (12 %) |
| Active transport (intentions) |
945 (65 %) |
498 (35 %) |
| Active transport (past week) |
1053 (73 %) |
382 (27 %) |
| Private transport (intentions) |
269 (18 %) |
1185 (82 %) |
| Private transport (past week) |
317 (22 %) |
1142 (78 %) |
Reporting for public transport only. Private transport and active transport available on request.
|
Public transport (past week) |
Public transport (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
1198 83 % |
64 4 % |
1262 87 % |
| Yes |
27 2 % |
146 10 % |
173 12 % |
| Total |
1225 85 % |
210 15 % |
1435 100 % |
Reporting for private vs. public transport only. Comparisons with active transport available on request.
|
Public transport (past week) |
Private transport (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
276 19 % |
992 69 % |
1268 88 % |
| Yes |
41 3 % |
128 9 % |
169 12 % |
| Total |
317 22 % |
1120 78 % |
1437 100 % |
Reporting for private vs. public transport only. Comparisons with active transport available on request.
|
Public transport (intentions) |
Private transport (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
223 16 % |
1006 70 % |
1229 86 % |
| Yes |
45 3 % |
161 11 % |
206 14 % |
| Total |
268 19 % |
1167 81 % |
1435 100 % |
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Public transport (intentions) |
681 (82 %) |
49 (6 %) |
42 (5 %) |
25 (3 %) |
13 (2 %) |
15 (2 %) |
2 (0 %) |
3 (0 %) |
| Public transport (past week) |
705 (85 %) |
43 (5 %) |
33 (4 %) |
16 (2 %) |
15 (2 %) |
15 (2 %) |
6 (1 %) |
1 (0 %) |
| Active transport (intentions) |
505 (61 %) |
97 (12 %) |
91 (11 %) |
49 (6 %) |
28 (3 %) |
21 (3 %) |
5 (1 %) |
29 (4 %) |
| Active transport (past week) |
571 (69 %) |
80 (10 %) |
62 (7 %) |
39 (5 %) |
21 (3 %) |
25 (3 %) |
5 (1 %) |
26 (3 %) |
| Private transport (intentions) |
141 (17 %) |
115 (14 %) |
137 (17 %) |
113 (14 %) |
87 (10 %) |
114 (14 %) |
49 (6 %) |
74 (9 %) |
| Private transport (past week) |
171 (20 %) |
125 (15 %) |
135 (16 %) |
105 (13 %) |
86 (10 %) |
105 (13 %) |
41 (5 %) |
66 (8 %) |
| No | Yes | |
|---|---|---|
| Public transport (intentions) |
681 (82 %) |
149 (18 %) |
| Public transport (past week) |
705 (85 %) |
129 (15 %) |
| Active transport (intentions) |
505 (61 %) |
320 (39 %) |
| Active transport (past week) |
571 (69 %) |
258 (31 %) |
| Private transport (intentions) |
141 (17 %) |
689 (83 %) |
| Private transport (past week) |
171 (20 %) |
663 (80 %) |
Reporting for public transport only. Private transport and active transport available on request.
|
Public transport (past week) |
Public transport (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
656 80 % |
41 5 % |
697 85 % |
| Yes |
20 2 % |
107 13 % |
127 15 % |
| Total |
676 82 % |
148 18 % |
824 100 % |
Reporting for private vs. public transport only. Comparisons with active transport available on request.
|
Public transport (past week) |
Private transport (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
143 17 % |
558 67 % |
701 84 % |
| Yes |
28 3 % |
99 12 % |
127 15 % |
| Total |
171 21 % |
657 79 % |
828 100 % |
Reporting for private vs. public transport only. Comparisons with active transport available on request.
|
Public transport (intentions) |
Private transport (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
116 14 % |
560 68 % |
676 82 % |
| Yes |
24 3 % |
122 15 % |
146 18 % |
| Total |
140 17 % |
682 83 % |
822 100 % |
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Public transport (intentions) |
458 (74 %) |
66 (11 %) |
48 (8 %) |
21 (3 %) |
12 (2 %) |
13 (2 %) |
2 (0 %) |
2 (0 %) |
| Public transport (past week) |
483 (77 %) |
54 (9 %) |
40 (6 %) |
15 (2 %) |
13 (2 %) |
13 (2 %) |
6 (1 %) |
1 (0 %) |
| Active transport (intentions) |
341 (55 %) |
87 (14 %) |
74 (12 %) |
40 (6 %) |
26 (4 %) |
19 (3 %) |
5 (1 %) |
28 (5 %) |
| Active transport (past week) |
390 (63 %) |
61 (10 %) |
65 (11 %) |
29 (5 %) |
21 (3 %) |
20 (3 %) |
6 (1 %) |
25 (4 %) |
| Private transport (intentions) |
146 (23 %) |
131 (21 %) |
123 (20 %) |
95 (15 %) |
39 (6 %) |
49 (8 %) |
17 (3 %) |
23 (4 %) |
| Private transport (past week) |
174 (28 %) |
136 (22 %) |
125 (20 %) |
68 (11 %) |
44 (7 %) |
40 (6 %) |
16 (3 %) |
22 (4 %) |
| No | Yes | |
|---|---|---|
| Public transport (intentions) |
458 (74 %) |
164 (26 %) |
| Public transport (past week) |
483 (77 %) |
142 (23 %) |
| Active transport (intentions) |
341 (55 %) |
279 (45 %) |
| Active transport (past week) |
390 (63 %) |
227 (37 %) |
| Private transport (intentions) |
146 (23 %) |
477 (77 %) |
| Private transport (past week) |
174 (28 %) |
451 (72 %) |
Reporting for public transport only. Private transport and active transport available on request.
|
Public transport (past week) |
Public transport (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
433 70 % |
45 7 % |
478 77 % |
| Yes |
20 3 % |
119 19 % |
139 22 % |
| Total |
453 73 % |
164 27 % |
617 100 % |
Reporting for private vs. public transport only. Comparisons with active transport available on request.
|
Public transport (past week) |
Private transport (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
136 22 % |
346 56 % |
482 78 % |
| Yes |
38 6 % |
98 16 % |
136 22 % |
| Total |
174 28 % |
444 72 % |
618 100 % |
Reporting for private vs. public transport only. Comparisons with active transport available on request.
|
Public transport (intentions) |
Private transport (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
103 17 % |
353 57 % |
456 74 % |
| Yes |
42 7 % |
118 19 % |
160 26 % |
| Total |
145 24 % |
471 76 % |
616 100 % |
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|---|---|---|---|---|---|---|---|---|
| Public transport (intentions) |
185 (69 %) |
26 (10 %) |
25 (9 %) |
14 (5 %) |
7 (3 %) |
9 (3 %) |
2 (1 %) |
1 (0 %) |
| Public transport (past week) |
198 (73 %) |
19 (7 %) |
24 (9 %) |
8 (3 %) |
5 (2 %) |
11 (4 %) |
5 (2 %) |
1 (0 %) |
| Active transport (intentions) |
143 (53 %) |
34 (13 %) |
35 (13 %) |
22 (8 %) |
11 (4 %) |
11 (4 %) |
2 (1 %) |
10 (4 %) |
| Active transport (past week) |
165 (62 %) |
24 (9 %) |
30 (11 %) |
14 (5 %) |
10 (4 %) |
13 (5 %) |
1 (0 %) |
9 (3 %) |
| Private transport (intentions) |
53 (20 %) |
56 (21 %) |
51 (19 %) |
40 (15 %) |
23 (9 %) |
22 (8 %) |
10 (4 %) |
13 (5 %) |
| Private transport (past week) |
77 (29 %) |
46 (17 %) |
53 (20 %) |
33 (12 %) |
20 (7 %) |
23 (9 %) |
7 (3 %) |
11 (4 %) |
| No | Yes | |
|---|---|---|
| Public transport (intentions) |
185 (69 %) |
84 (31 %) |
| Public transport (past week) |
198 (73 %) |
73 (27 %) |
| Active transport (intentions) |
143 (53 %) |
125 (47 %) |
| Active transport (past week) |
165 (62 %) |
101 (38 %) |
| Private transport (intentions) |
53 (20 %) |
215 (80 %) |
| Private transport (past week) |
77 (29 %) |
193 (71 %) |
Reporting for public transport only. Private transport and active transport available on request.
|
Public transport (past week) |
Public transport (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
174 65 % |
21 8 % |
195 73 % |
| Yes |
9 3 % |
63 24 % |
72 27 % |
| Total |
183 69 % |
84 31 % |
267 100 % |
Reporting for private vs. public transport only. Comparisons with active transport available on request.
|
Public transport (past week) |
Private transport (past week) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
64 24 % |
134 50 % |
198 74 % |
| Yes |
13 5 % |
57 21 % |
70 26 % |
| Total |
77 29 % |
191 71 % |
268 100 % |
Reporting for private vs. public transport only. Comparisons with active transport available on request.
|
Public transport (intentions) |
Private transport (intentions) |
Total | |
|---|---|---|---|
| No | Yes | ||
| No |
37 14 % |
147 55 % |
184 69 % |
| Yes |
15 6 % |
67 25 % |
82 31 % |
| Total |
52 20 % |
214 80 % |
266 100 % |
Only people who indicated that they ordinarily used public transport pre-COVID (n = 632) were asked these questions.
| Much less likely | Less likely | Have no impact | More likely | Much more likely | |
|---|---|---|---|---|---|
|
If public transport stations and vehicles were sanitised multiple times per day |
2 % | 5 % | 32 % | 44 % | 17 % |
|
If public transport stations and vehicles were modified to reduce maximum passenger density (e.g., blocking off rows of seats) |
3 % | 7 % | 29 % | 45 % | 16 % |
|
If public transport stations and vehicles were modified to increase availability of hand sanitiser |
2 % | 6 % | 36 % | 42 % | 14 % |
|
If fewer people used public transport (e.g., 50% of normal density) |
2 % | 6 % | 31 % | 46 % | 15 % |
|
If my family, friends, or work colleagues started using public transport again |
4 % | 7 % | 63 % | 21 % | 5 % |
|
If the government made it clear that it wanted people to use public transport |
6 % | 11 % | 56 % | 20 % | 7 % |
|
If the government allowed more public activities (e.g., restaurants, bars, cinemas) |
9 % | 12 % | 45 % | 24 % | 9 % |
|
If most people chose to wear a face mask on public transport |
3 % | 6 % | 48 % | 32 % | 12 % |
Only people who indicated that they ordinarily commuted to work in peak periods with public transport pre-COVID (n = 273) were asked these questions.
Can a text message influence Australians to download a COVID-19 tracing app?
In Wave 3 (Australian respondents only), we designed an intervention to test persuasive text messages on
The design of the intervention was a 1x4 (message: baseline, economic consequences, social proof, data safety) between-groups design. The primary outcome variable also included a pre-test to increase power.
There were two outcome variables:
In this wave (wave 3), the Australian COVIDsafe app had been released. Therefore we asked participants earlier in the study:
This means that only those participants who had not used the app were asked the pre-measure.
Findings from the pre-registered hypotheses:
Intentions increased from pre-test to post-test, supporting Hypothesis 1 that the use of any text message to encourage respondents to download COVIDsafe would be effective.
However, Hypotheses 2 through 4 were not supported. THere was no difference between experimental conditions on the
The use of any text message will increase intentions to use COVIDsafe from pre- to post-measure among people who have not downloaded the app
We test this with a linear model to assess whether the change is significant overall. This is the equivalent of a repeated-measures t-test on intentions, e.g.
lm(post-intentions - pre-intentions ~ 1)
| Will you install the app? | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 0.17 | 0.07 – 0.28 | 0.001 |
| Observations | 855 | ||
| R2 / R2 adjusted | 0.000 / 0.000 | ||
The use of the research-informed text messages will predict intentions to use COVIDsafe, controlling for pre-measured intentions, among people who have not downloaded the app
We will test this with a linear model, e.g.,
lm(post-intentions ~ pre-intentions + text_message_condition)
We expect the following pattern of results
|
Will you install the app? |
|||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 0.39 | 0.16 – 0.61 | 0.001 |
|
Download and install a government COVID-19 tracing app on my phone |
0.88 | 0.84 – 0.91 | <0.001 |
| baseline | Reference | ||
| econ | 0.16 | -0.13 – 0.44 | 0.275 |
| safety | 0.08 | -0.20 – 0.37 | 0.555 |
| social | 0.23 | -0.05 – 0.52 | 0.110 |
| Observations | 842 | ||
| R2 / R2 adjusted | 0.750 / 0.749 | ||
The use of the research-informed text messages will predict intentions to recommend COVIDsafe to others, among people who have not downloaded the app
lm(recommend_to_others ~ text_message_condition)
We expect the following pattern of results
| Would you recommend it? | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 4.10 | 3.68 – 4.51 | <0.001 |
| baseline | Reference | ||
| econ | -0.54 | -1.14 – 0.06 | 0.077 |
| safety | -0.32 | -0.91 – 0.28 | 0.295 |
| social | -0.53 | -1.13 – 0.07 | 0.085 |
| Observations | 844 | ||
| R2 / R2 adjusted | 0.005 / 0.001 | ||
The use of the research-informed text messages will increase likelihood to recommend COVIDsafe to others among people who HAVE downloaded the app
lm(recommend_to_others ~ text_message_condition)
We expect the following pattern of results
| Would you recommend it? | |||
|---|---|---|---|
| Predictors | Estimates | CI | p |
| (Intercept) | 8.49 | 8.17 – 8.80 | <0.001 |
| baseline | Reference | ||
| econ | -0.40 | -0.83 – 0.02 | 0.062 |
| safety | -0.02 | -0.45 – 0.41 | 0.939 |
| social | -0.25 | -0.69 – 0.20 | 0.277 |
| Observations | 614 | ||
| R2 / R2 adjusted | 0.008 / 0.003 | ||
Baseline
Coronavirus Aus Gov msg: Help us to keep you safe and ease restrictions by downloading the COVIDSafe app now: aus.gov.au/app
Data safety
Coronavirus Aus Gov msg: COVIDSafe app data is protected by law and will only be used to stop the spread of COVID-19. Download the COVIDSafe app now: aus.gov.au/app
Economic consequences
Coronavirus Aus Gov msg: Help get businesses back to normal and reduce the economic impact of COVID-19 by downloading the COVIDSafe app now: aus.gov.au/app
Social proof / social norm
Coronavirus Aus Gov msg: Over 5,500,000 Australians have already downloaded and installed the COVIDSafe app. Download now at: aus.gov.au/app
More information at SCRUB Wave 3 interventions
We designed an intervention to investigate the role of two variables in respondents’ likelihood to use and advocate for a COVID-19 tracing app, similar to that just released (26 April) by the Australian Government.
The design of the intervention was a 2 (message framing: autonomy-supportive, controlling) x 2 (data safety: high, low) between-groups design. The primary outcome variable also included a pre-test to increase power.
There were three outcome variables:
In a pre-registered analysis, we found an effect of data safety but not message framing on outcome variables 1 and 3. Emphasising data safety caused an increased intention to download and install a tracing app, and increased willingness to recommend to friends and family.
Full text of the message framing and data safety conditions is presented in a tab below.
| Intention to download and install app | |||
|---|---|---|---|
| Predictors | Estimates | 95% CI | p |
| Pre-measured intentions | 0.81 | 0.78 – 0.85 | <0.001 |
| High data safety (vs. low) | 0.52 | 0.17 – 0.88 | 0.004 |
| Autonomy-supporting framing (vs. controlling) | 0.12 | -0.25 – 0.49 | 0.523 |
| Data safety x Message framing | -0.09 | -0.61 – 0.43 | 0.732 |
| Observations | 1080 | ||
| R2 / R2 adjusted | 0.636 / 0.635 | ||
| Support for government funding app development | |||
|---|---|---|---|
| Predictors | Estimates | 95% CI | p |
| Pre-measured intentions | 0.54 | 0.50 – 0.58 | <0.001 |
| High data safety (vs. low) | 0.22 | -0.18 – 0.62 | 0.278 |
| Autonomy-supporting framing (vs. controlling) | 0.15 | -0.27 – 0.56 | 0.491 |
| Data safety x Message framing | 0.04 | -0.54 – 0.62 | 0.887 |
| Observations | 1062 | ||
| R2 / R2 adjusted | 0.388 / 0.386 | ||
| Willingness to recommend app to friends & family | |||
|---|---|---|---|
| Predictors | Estimates | 95% CI | p |
| Pre-measured intentions | 0.67 | 0.62 – 0.71 | <0.001 |
| High data safety (vs. low) | 0.52 | 0.12 – 0.93 | 0.011 |
| Autonomy-supporting framing (vs. controlling) | -0.11 | -0.53 – 0.31 | 0.599 |
| Data safety x Message framing | 0.02 | -0.56 – 0.61 | 0.935 |
| Observations | 1071 | ||
| R2 / R2 adjusted | 0.483 / 0.481 | ||
Introduction
In this section, you will read about one possible version of a COVID-19 trace app based on Australian media reporting and Australian government press conferences. Similar apps or the use of mobile phones to trace COVID-19 have been proposed or deployed in other countries. At the end of the survey, you will receive links to media and government information about the planned Australian app.
In the midst of this global pandemic, one of the most effective ways to stop the spread of COVID-19 is to trace the contacts of people who are infected, and test those contacts. This typically involves interviewing the infected person to identify possible contacts. The government has commissioned the development of a digital contact tracing app to speed up this process. It works like this:
Text of interventions
Note. All respondents saw one message framing condition AND one data safety condition.
| Message framing | Text |
|---|---|
| Autonomy-supportive language | Downloading the COVID-19 trace app means you are allowing information about who you have come into close contact with to be electronically monitored, which may feel intrusive. The reason for this unusual measure is that it is the most effective way to help people find out about their risk if they have come in contact with an infected person. Doing so means they can then make the right choices to protect themselves and their loved ones. That is why it’s hoped that you will choose to participate in this important program. Using the app is entirely voluntary. You have the choice to download and to activate, and you can opt out at any time. Making this choice is a way you can really contribute to containing the spread. |
| Controlling language | Downloading the COVID-19 trace app means you are allowing information about who you have come into close contact with to be electronically monitored. Even if it feels intrusive, this is something people shouldn’t question, because it is clearly the most effective way for authorities to track who has been in contact with an infected person. You need to help authorities notify those at risk of contracting the virus. Given the current threat, we think you must do this to be a responsible citizen. Downloading the app is not really a choice—it’s a thing that you should just do. To comply with this program, you should download the app and ensure that it’s activated. Complying with this requirement is the best way to stop the spread of the virus. |
| Data safety condition | Text |
|---|---|
| Safety of information | Information from the COVID-19 trace app will be stored locally on a phone, encrypted, and only transferred to a health data bank if a person tests positive for COVID-19. Once there, data cannot be accessed by any other parties, private or governmental, and will not be used for any other purposes. The app is designed so that your personal identity and personal information are protected. Data will be destroyed every 21 days so that it cannot be used later by anyone, for any reason. |
| No safety of information | Information from the COVID-19 trace app will be stored locally on a phone and then transferred to a health data bank for use in tracing the contacts of a person who tests positive for COVID-19. Once there, the data will be owned by the government and may be accessed for other important purposes. The app is designed so that the data can be stored long-term and it is possible that the data will be used in later analyses for other health or government purposes. |
(Results to come)
Prepared by Alexander Saeri (alexander.saeri@monash.edu) with support from Peter Slattery (peter.slattery@monash.edu) and Michael Noetel (michael.noetel@acu.edu.au).
All analyses in this document refer to data from respondents to the Survey of COVID-19 responses to understand behaviour (SCRUB) project. SCRUB was initiated by READI and is now conducted as a collaboration between >140 international researchers, READI, and BehaviourWorks Australia at the Monash Sustainable Development Institute, Monash University.
Our vision for this project is an international and continuously-updated dataset that can provide local insights to help government and public health officials make better decisions to fight against the novel coronavirus.
With both repeated cross-sectional and longitudinal sampling, we can track behaviour and its determinants over time.
Each time the survey is updated with new data, we are generating an updated report about the prevalence of protective behaviours, their most important drivers or barriers, a break-down by key demographics, and trends over time.
Socialised with friends or family
Socialise with friends or family
For example, using phone, email or internet, visiting other people’s homes, other people visiting your home, or meeting in public
Days 0-7 (plot)
Days 0-7 (table)
(intentions)
(24 %)
(22 %)
(17 %)
(11 %)
(7 %)
(6 %)
(3 %)
(11 %)
week)
(33 %)
(15 %)
(12 %)
(10 %)
(7 %)
(6 %)
(2 %)
(14 %)
person (past week)
(33 %)
(32 %)
(17 %)
(8 %)
(5 %)
(2 %)
(1 %)
(3 %)
remotely (past week)
(15 %)
(14 %)
(16 %)
(14 %)
(10 %)
(9 %)
(5 %)
(17 %)
Yes/No (plot)
Yes/No (table)
(intentions)
(24 %)
(76 %)
week)
(33 %)
(67 %)
person (past week)
(33 %)
(67 %)
remotely (past week)
(15 %)
(85 %)
Crosstabs: in-person / remote
friends/family in
person (past week)
friends/family
remotely (past week)
2 %
32 %
34 %
14 %
53 %
67 %
16 %
84 %
100 %
Crosstabs: past week / intentions
friends/family (past
week)
friends/family
(intentions)
19 %
13 %
32 %
4 %
63 %
67 %
24 %
76 %
100 %
Crosstabs: past week IN PERSON / intentions
For this table, “past week in person” includes only those people who did the activity at all in the past week. “Intentions” refers to the person’s intention to do the activity at all in the past week.
friends/family in
person (past week)
friends/family
(intentions)
3 %
29 %
32 %
4 %
64 %
68 %
7 %
93 %
100 %